# {py:mod}`causalis.data_contracts.causal_diagnostic_data`

```{py:module} causalis.data_contracts.causal_diagnostic_data
```

```{autodoc2-docstring} causalis.data_contracts.causal_diagnostic_data
:allowtitles:
```

## Module Contents

### Classes

````{list-table}
:class: autosummary longtable
:align: left

* - {py:obj}`DiagnosticData <causalis.data_contracts.causal_diagnostic_data.DiagnosticData>`
  - ```{autodoc2-docstring} causalis.data_contracts.causal_diagnostic_data.DiagnosticData
    :summary:
    ```
* - {py:obj}`UnconfoundednessDiagnosticData <causalis.data_contracts.causal_diagnostic_data.UnconfoundednessDiagnosticData>`
  - ```{autodoc2-docstring} causalis.data_contracts.causal_diagnostic_data.UnconfoundednessDiagnosticData
    :summary:
    ```
* - {py:obj}`MultiUnconfoundednessDiagnosticData <causalis.data_contracts.causal_diagnostic_data.MultiUnconfoundednessDiagnosticData>`
  - ```{autodoc2-docstring} causalis.data_contracts.causal_diagnostic_data.MultiUnconfoundednessDiagnosticData
    :summary:
    ```
* - {py:obj}`IVDiagnosticData <causalis.data_contracts.causal_diagnostic_data.IVDiagnosticData>`
  - ```{autodoc2-docstring} causalis.data_contracts.causal_diagnostic_data.IVDiagnosticData
    :summary:
    ```
* - {py:obj}`DiffInMeansDiagnosticData <causalis.data_contracts.causal_diagnostic_data.DiffInMeansDiagnosticData>`
  - ```{autodoc2-docstring} causalis.data_contracts.causal_diagnostic_data.DiffInMeansDiagnosticData
    :summary:
    ```
* - {py:obj}`CUPEDDiagnosticData <causalis.data_contracts.causal_diagnostic_data.CUPEDDiagnosticData>`
  - ```{autodoc2-docstring} causalis.data_contracts.causal_diagnostic_data.CUPEDDiagnosticData
    :summary:
    ```
````

### API

`````{py:class} DiagnosticData(/, **data: typing.Any)
:canonical: causalis.data_contracts.causal_diagnostic_data.DiagnosticData

Bases: {py:obj}`pydantic.BaseModel`

```{autodoc2-docstring} causalis.data_contracts.causal_diagnostic_data.DiagnosticData
```

```{rubric} Initialization
```

```{autodoc2-docstring} causalis.data_contracts.causal_diagnostic_data.DiagnosticData.__init__
```

````{py:attribute} model_config
:canonical: causalis.data_contracts.causal_diagnostic_data.DiagnosticData.model_config
:value: >
   'ConfigDict(...)'

```{autodoc2-docstring} causalis.data_contracts.causal_diagnostic_data.DiagnosticData.model_config
```

````

`````

`````{py:class} UnconfoundednessDiagnosticData(/, **data: typing.Any)
:canonical: causalis.data_contracts.causal_diagnostic_data.UnconfoundednessDiagnosticData

Bases: {py:obj}`causalis.data_contracts.causal_diagnostic_data.DiagnosticData`

```{autodoc2-docstring} causalis.data_contracts.causal_diagnostic_data.UnconfoundednessDiagnosticData
```

```{rubric} Initialization
```

```{autodoc2-docstring} causalis.data_contracts.causal_diagnostic_data.UnconfoundednessDiagnosticData.__init__
```

````{py:attribute} m_hat
:canonical: causalis.data_contracts.causal_diagnostic_data.UnconfoundednessDiagnosticData.m_hat
:type: numpy.ndarray
:value: >
   None

```{autodoc2-docstring} causalis.data_contracts.causal_diagnostic_data.UnconfoundednessDiagnosticData.m_hat
```

````

````{py:attribute} m_hat_raw
:canonical: causalis.data_contracts.causal_diagnostic_data.UnconfoundednessDiagnosticData.m_hat_raw
:type: typing.Optional[numpy.ndarray]
:value: >
   None

```{autodoc2-docstring} causalis.data_contracts.causal_diagnostic_data.UnconfoundednessDiagnosticData.m_hat_raw
```

````

````{py:attribute} d
:canonical: causalis.data_contracts.causal_diagnostic_data.UnconfoundednessDiagnosticData.d
:type: numpy.ndarray
:value: >
   None

```{autodoc2-docstring} causalis.data_contracts.causal_diagnostic_data.UnconfoundednessDiagnosticData.d
```

````

````{py:attribute} y
:canonical: causalis.data_contracts.causal_diagnostic_data.UnconfoundednessDiagnosticData.y
:type: typing.Optional[numpy.ndarray]
:value: >
   None

```{autodoc2-docstring} causalis.data_contracts.causal_diagnostic_data.UnconfoundednessDiagnosticData.y
```

````

````{py:attribute} x
:canonical: causalis.data_contracts.causal_diagnostic_data.UnconfoundednessDiagnosticData.x
:type: typing.Optional[numpy.ndarray]
:value: >
   None

```{autodoc2-docstring} causalis.data_contracts.causal_diagnostic_data.UnconfoundednessDiagnosticData.x
```

````

````{py:attribute} g0_hat
:canonical: causalis.data_contracts.causal_diagnostic_data.UnconfoundednessDiagnosticData.g0_hat
:type: typing.Optional[numpy.ndarray]
:value: >
   None

```{autodoc2-docstring} causalis.data_contracts.causal_diagnostic_data.UnconfoundednessDiagnosticData.g0_hat
```

````

````{py:attribute} g1_hat
:canonical: causalis.data_contracts.causal_diagnostic_data.UnconfoundednessDiagnosticData.g1_hat
:type: typing.Optional[numpy.ndarray]
:value: >
   None

```{autodoc2-docstring} causalis.data_contracts.causal_diagnostic_data.UnconfoundednessDiagnosticData.g1_hat
```

````

````{py:attribute} w
:canonical: causalis.data_contracts.causal_diagnostic_data.UnconfoundednessDiagnosticData.w
:type: typing.Optional[numpy.ndarray]
:value: >
   None

```{autodoc2-docstring} causalis.data_contracts.causal_diagnostic_data.UnconfoundednessDiagnosticData.w
```

````

````{py:attribute} w_bar
:canonical: causalis.data_contracts.causal_diagnostic_data.UnconfoundednessDiagnosticData.w_bar
:type: typing.Optional[numpy.ndarray]
:value: >
   None

```{autodoc2-docstring} causalis.data_contracts.causal_diagnostic_data.UnconfoundednessDiagnosticData.w_bar
```

````

````{py:attribute} psi_b
:canonical: causalis.data_contracts.causal_diagnostic_data.UnconfoundednessDiagnosticData.psi_b
:type: typing.Optional[numpy.ndarray]
:value: >
   None

```{autodoc2-docstring} causalis.data_contracts.causal_diagnostic_data.UnconfoundednessDiagnosticData.psi_b
```

````

````{py:attribute} folds
:canonical: causalis.data_contracts.causal_diagnostic_data.UnconfoundednessDiagnosticData.folds
:type: typing.Optional[numpy.ndarray]
:value: >
   None

```{autodoc2-docstring} causalis.data_contracts.causal_diagnostic_data.UnconfoundednessDiagnosticData.folds
```

````

````{py:attribute} trimming_threshold
:canonical: causalis.data_contracts.causal_diagnostic_data.UnconfoundednessDiagnosticData.trimming_threshold
:type: float
:value: >
   0.0

```{autodoc2-docstring} causalis.data_contracts.causal_diagnostic_data.UnconfoundednessDiagnosticData.trimming_threshold
```

````

````{py:attribute} normalize_ipw
:canonical: causalis.data_contracts.causal_diagnostic_data.UnconfoundednessDiagnosticData.normalize_ipw
:type: typing.Optional[bool]
:value: >
   None

```{autodoc2-docstring} causalis.data_contracts.causal_diagnostic_data.UnconfoundednessDiagnosticData.normalize_ipw
```

````

````{py:attribute} sigma2
:canonical: causalis.data_contracts.causal_diagnostic_data.UnconfoundednessDiagnosticData.sigma2
:type: typing.Optional[float]
:value: >
   None

```{autodoc2-docstring} causalis.data_contracts.causal_diagnostic_data.UnconfoundednessDiagnosticData.sigma2
```

````

````{py:attribute} nu2
:canonical: causalis.data_contracts.causal_diagnostic_data.UnconfoundednessDiagnosticData.nu2
:type: typing.Optional[float]
:value: >
   None

```{autodoc2-docstring} causalis.data_contracts.causal_diagnostic_data.UnconfoundednessDiagnosticData.nu2
```

````

````{py:attribute} psi_sigma2
:canonical: causalis.data_contracts.causal_diagnostic_data.UnconfoundednessDiagnosticData.psi_sigma2
:type: typing.Optional[numpy.ndarray]
:value: >
   None

```{autodoc2-docstring} causalis.data_contracts.causal_diagnostic_data.UnconfoundednessDiagnosticData.psi_sigma2
```

````

````{py:attribute} psi_nu2
:canonical: causalis.data_contracts.causal_diagnostic_data.UnconfoundednessDiagnosticData.psi_nu2
:type: typing.Optional[numpy.ndarray]
:value: >
   None

```{autodoc2-docstring} causalis.data_contracts.causal_diagnostic_data.UnconfoundednessDiagnosticData.psi_nu2
```

````

````{py:attribute} riesz_rep
:canonical: causalis.data_contracts.causal_diagnostic_data.UnconfoundednessDiagnosticData.riesz_rep
:type: typing.Optional[numpy.ndarray]
:value: >
   None

```{autodoc2-docstring} causalis.data_contracts.causal_diagnostic_data.UnconfoundednessDiagnosticData.riesz_rep
```

````

````{py:attribute} m_alpha
:canonical: causalis.data_contracts.causal_diagnostic_data.UnconfoundednessDiagnosticData.m_alpha
:type: typing.Optional[numpy.ndarray]
:value: >
   None

```{autodoc2-docstring} causalis.data_contracts.causal_diagnostic_data.UnconfoundednessDiagnosticData.m_alpha
```

````

````{py:attribute} psi
:canonical: causalis.data_contracts.causal_diagnostic_data.UnconfoundednessDiagnosticData.psi
:type: typing.Optional[numpy.ndarray]
:value: >
   None

```{autodoc2-docstring} causalis.data_contracts.causal_diagnostic_data.UnconfoundednessDiagnosticData.psi
```

````

````{py:attribute} score
:canonical: causalis.data_contracts.causal_diagnostic_data.UnconfoundednessDiagnosticData.score
:type: typing.Optional[str]
:value: >
   None

```{autodoc2-docstring} causalis.data_contracts.causal_diagnostic_data.UnconfoundednessDiagnosticData.score
```

````

````{py:attribute} sensitivity_analysis
:canonical: causalis.data_contracts.causal_diagnostic_data.UnconfoundednessDiagnosticData.sensitivity_analysis
:type: typing.Optional[typing.Dict[str, typing.Any]]
:value: >
   None

```{autodoc2-docstring} causalis.data_contracts.causal_diagnostic_data.UnconfoundednessDiagnosticData.sensitivity_analysis
```

````

````{py:attribute} score_plot_cache
:canonical: causalis.data_contracts.causal_diagnostic_data.UnconfoundednessDiagnosticData.score_plot_cache
:type: typing.Optional[typing.Dict[str, typing.Any]]
:value: >
   None

```{autodoc2-docstring} causalis.data_contracts.causal_diagnostic_data.UnconfoundednessDiagnosticData.score_plot_cache
```

````

````{py:attribute} residual_plot_cache
:canonical: causalis.data_contracts.causal_diagnostic_data.UnconfoundednessDiagnosticData.residual_plot_cache
:type: typing.Optional[typing.Dict[str, typing.Any]]
:value: >
   None

```{autodoc2-docstring} causalis.data_contracts.causal_diagnostic_data.UnconfoundednessDiagnosticData.residual_plot_cache
```

````

````{py:attribute} feature_importance
:canonical: causalis.data_contracts.causal_diagnostic_data.UnconfoundednessDiagnosticData.feature_importance
:type: typing.Optional[typing.Dict[str, typing.Any]]
:value: >
   None

```{autodoc2-docstring} causalis.data_contracts.causal_diagnostic_data.UnconfoundednessDiagnosticData.feature_importance
```

````

`````

`````{py:class} MultiUnconfoundednessDiagnosticData(/, **data: typing.Any)
:canonical: causalis.data_contracts.causal_diagnostic_data.MultiUnconfoundednessDiagnosticData

Bases: {py:obj}`causalis.data_contracts.causal_diagnostic_data.DiagnosticData`

```{autodoc2-docstring} causalis.data_contracts.causal_diagnostic_data.MultiUnconfoundednessDiagnosticData
```

```{rubric} Initialization
```

```{autodoc2-docstring} causalis.data_contracts.causal_diagnostic_data.MultiUnconfoundednessDiagnosticData.__init__
```

````{py:attribute} m_hat
:canonical: causalis.data_contracts.causal_diagnostic_data.MultiUnconfoundednessDiagnosticData.m_hat
:type: numpy.ndarray
:value: >
   None

```{autodoc2-docstring} causalis.data_contracts.causal_diagnostic_data.MultiUnconfoundednessDiagnosticData.m_hat
```

````

````{py:attribute} m_hat_raw
:canonical: causalis.data_contracts.causal_diagnostic_data.MultiUnconfoundednessDiagnosticData.m_hat_raw
:type: typing.Optional[numpy.ndarray]
:value: >
   None

```{autodoc2-docstring} causalis.data_contracts.causal_diagnostic_data.MultiUnconfoundednessDiagnosticData.m_hat_raw
```

````

````{py:attribute} d
:canonical: causalis.data_contracts.causal_diagnostic_data.MultiUnconfoundednessDiagnosticData.d
:type: numpy.ndarray
:value: >
   None

```{autodoc2-docstring} causalis.data_contracts.causal_diagnostic_data.MultiUnconfoundednessDiagnosticData.d
```

````

````{py:attribute} y
:canonical: causalis.data_contracts.causal_diagnostic_data.MultiUnconfoundednessDiagnosticData.y
:type: typing.Optional[numpy.ndarray]
:value: >
   None

```{autodoc2-docstring} causalis.data_contracts.causal_diagnostic_data.MultiUnconfoundednessDiagnosticData.y
```

````

````{py:attribute} x
:canonical: causalis.data_contracts.causal_diagnostic_data.MultiUnconfoundednessDiagnosticData.x
:type: typing.Optional[numpy.ndarray]
:value: >
   None

```{autodoc2-docstring} causalis.data_contracts.causal_diagnostic_data.MultiUnconfoundednessDiagnosticData.x
```

````

````{py:attribute} g_hat
:canonical: causalis.data_contracts.causal_diagnostic_data.MultiUnconfoundednessDiagnosticData.g_hat
:type: typing.Optional[numpy.ndarray]
:value: >
   None

```{autodoc2-docstring} causalis.data_contracts.causal_diagnostic_data.MultiUnconfoundednessDiagnosticData.g_hat
```

````

````{py:attribute} psi_b
:canonical: causalis.data_contracts.causal_diagnostic_data.MultiUnconfoundednessDiagnosticData.psi_b
:type: typing.Optional[numpy.ndarray]
:value: >
   None

```{autodoc2-docstring} causalis.data_contracts.causal_diagnostic_data.MultiUnconfoundednessDiagnosticData.psi_b
```

````

````{py:attribute} folds
:canonical: causalis.data_contracts.causal_diagnostic_data.MultiUnconfoundednessDiagnosticData.folds
:type: typing.Optional[numpy.ndarray]
:value: >
   None

```{autodoc2-docstring} causalis.data_contracts.causal_diagnostic_data.MultiUnconfoundednessDiagnosticData.folds
```

````

````{py:attribute} trimming_threshold
:canonical: causalis.data_contracts.causal_diagnostic_data.MultiUnconfoundednessDiagnosticData.trimming_threshold
:type: float
:value: >
   0.0

```{autodoc2-docstring} causalis.data_contracts.causal_diagnostic_data.MultiUnconfoundednessDiagnosticData.trimming_threshold
```

````

````{py:attribute} normalize_ipw
:canonical: causalis.data_contracts.causal_diagnostic_data.MultiUnconfoundednessDiagnosticData.normalize_ipw
:type: typing.Optional[bool]
:value: >
   None

```{autodoc2-docstring} causalis.data_contracts.causal_diagnostic_data.MultiUnconfoundednessDiagnosticData.normalize_ipw
```

````

````{py:attribute} sigma2
:canonical: causalis.data_contracts.causal_diagnostic_data.MultiUnconfoundednessDiagnosticData.sigma2
:type: typing.Union[float, numpy.ndarray]
:value: >
   None

```{autodoc2-docstring} causalis.data_contracts.causal_diagnostic_data.MultiUnconfoundednessDiagnosticData.sigma2
```

````

````{py:attribute} nu2
:canonical: causalis.data_contracts.causal_diagnostic_data.MultiUnconfoundednessDiagnosticData.nu2
:type: typing.Optional[numpy.ndarray]
:value: >
   None

```{autodoc2-docstring} causalis.data_contracts.causal_diagnostic_data.MultiUnconfoundednessDiagnosticData.nu2
```

````

````{py:attribute} psi_sigma2
:canonical: causalis.data_contracts.causal_diagnostic_data.MultiUnconfoundednessDiagnosticData.psi_sigma2
:type: typing.Optional[numpy.ndarray]
:value: >
   None

```{autodoc2-docstring} causalis.data_contracts.causal_diagnostic_data.MultiUnconfoundednessDiagnosticData.psi_sigma2
```

````

````{py:attribute} psi_nu2
:canonical: causalis.data_contracts.causal_diagnostic_data.MultiUnconfoundednessDiagnosticData.psi_nu2
:type: typing.Optional[numpy.ndarray]
:value: >
   None

```{autodoc2-docstring} causalis.data_contracts.causal_diagnostic_data.MultiUnconfoundednessDiagnosticData.psi_nu2
```

````

````{py:attribute} riesz_rep
:canonical: causalis.data_contracts.causal_diagnostic_data.MultiUnconfoundednessDiagnosticData.riesz_rep
:type: typing.Optional[numpy.ndarray]
:value: >
   None

```{autodoc2-docstring} causalis.data_contracts.causal_diagnostic_data.MultiUnconfoundednessDiagnosticData.riesz_rep
```

````

````{py:attribute} m_alpha
:canonical: causalis.data_contracts.causal_diagnostic_data.MultiUnconfoundednessDiagnosticData.m_alpha
:type: typing.Optional[numpy.ndarray]
:value: >
   None

```{autodoc2-docstring} causalis.data_contracts.causal_diagnostic_data.MultiUnconfoundednessDiagnosticData.m_alpha
```

````

````{py:attribute} psi
:canonical: causalis.data_contracts.causal_diagnostic_data.MultiUnconfoundednessDiagnosticData.psi
:type: typing.Optional[numpy.ndarray]
:value: >
   None

```{autodoc2-docstring} causalis.data_contracts.causal_diagnostic_data.MultiUnconfoundednessDiagnosticData.psi
```

````

````{py:attribute} score
:canonical: causalis.data_contracts.causal_diagnostic_data.MultiUnconfoundednessDiagnosticData.score
:type: typing.Optional[str]
:value: >
   None

```{autodoc2-docstring} causalis.data_contracts.causal_diagnostic_data.MultiUnconfoundednessDiagnosticData.score
```

````

````{py:attribute} sensitivity_analysis
:canonical: causalis.data_contracts.causal_diagnostic_data.MultiUnconfoundednessDiagnosticData.sensitivity_analysis
:type: typing.Optional[typing.Dict[str, typing.Any]]
:value: >
   None

```{autodoc2-docstring} causalis.data_contracts.causal_diagnostic_data.MultiUnconfoundednessDiagnosticData.sensitivity_analysis
```

````

````{py:attribute} residual_plot_cache
:canonical: causalis.data_contracts.causal_diagnostic_data.MultiUnconfoundednessDiagnosticData.residual_plot_cache
:type: typing.Optional[typing.Dict[str, typing.Any]]
:value: >
   None

```{autodoc2-docstring} causalis.data_contracts.causal_diagnostic_data.MultiUnconfoundednessDiagnosticData.residual_plot_cache
```

````

`````

`````{py:class} IVDiagnosticData(/, **data: typing.Any)
:canonical: causalis.data_contracts.causal_diagnostic_data.IVDiagnosticData

Bases: {py:obj}`causalis.data_contracts.causal_diagnostic_data.DiagnosticData`

```{autodoc2-docstring} causalis.data_contracts.causal_diagnostic_data.IVDiagnosticData
```

```{rubric} Initialization
```

```{autodoc2-docstring} causalis.data_contracts.causal_diagnostic_data.IVDiagnosticData.__init__
```

````{py:attribute} y
:canonical: causalis.data_contracts.causal_diagnostic_data.IVDiagnosticData.y
:type: numpy.ndarray
:value: >
   None

```{autodoc2-docstring} causalis.data_contracts.causal_diagnostic_data.IVDiagnosticData.y
```

````

````{py:attribute} d
:canonical: causalis.data_contracts.causal_diagnostic_data.IVDiagnosticData.d
:type: numpy.ndarray
:value: >
   None

```{autodoc2-docstring} causalis.data_contracts.causal_diagnostic_data.IVDiagnosticData.d
```

````

````{py:attribute} z
:canonical: causalis.data_contracts.causal_diagnostic_data.IVDiagnosticData.z
:type: numpy.ndarray
:value: >
   None

```{autodoc2-docstring} causalis.data_contracts.causal_diagnostic_data.IVDiagnosticData.z
```

````

````{py:attribute} x
:canonical: causalis.data_contracts.causal_diagnostic_data.IVDiagnosticData.x
:type: typing.Optional[numpy.ndarray]
:value: >
   None

```{autodoc2-docstring} causalis.data_contracts.causal_diagnostic_data.IVDiagnosticData.x
```

````

````{py:attribute} x_names
:canonical: causalis.data_contracts.causal_diagnostic_data.IVDiagnosticData.x_names
:type: typing.List[str]
:value: >
   'Field(...)'

```{autodoc2-docstring} causalis.data_contracts.causal_diagnostic_data.IVDiagnosticData.x_names
```

````

````{py:attribute} g0_hat
:canonical: causalis.data_contracts.causal_diagnostic_data.IVDiagnosticData.g0_hat
:type: numpy.ndarray
:value: >
   None

```{autodoc2-docstring} causalis.data_contracts.causal_diagnostic_data.IVDiagnosticData.g0_hat
```

````

````{py:attribute} g1_hat
:canonical: causalis.data_contracts.causal_diagnostic_data.IVDiagnosticData.g1_hat
:type: numpy.ndarray
:value: >
   None

```{autodoc2-docstring} causalis.data_contracts.causal_diagnostic_data.IVDiagnosticData.g1_hat
```

````

````{py:attribute} m_hat
:canonical: causalis.data_contracts.causal_diagnostic_data.IVDiagnosticData.m_hat
:type: numpy.ndarray
:value: >
   None

```{autodoc2-docstring} causalis.data_contracts.causal_diagnostic_data.IVDiagnosticData.m_hat
```

````

````{py:attribute} m_hat_raw
:canonical: causalis.data_contracts.causal_diagnostic_data.IVDiagnosticData.m_hat_raw
:type: typing.Optional[numpy.ndarray]
:value: >
   None

```{autodoc2-docstring} causalis.data_contracts.causal_diagnostic_data.IVDiagnosticData.m_hat_raw
```

````

````{py:attribute} r0_hat
:canonical: causalis.data_contracts.causal_diagnostic_data.IVDiagnosticData.r0_hat
:type: numpy.ndarray
:value: >
   None

```{autodoc2-docstring} causalis.data_contracts.causal_diagnostic_data.IVDiagnosticData.r0_hat
```

````

````{py:attribute} r1_hat
:canonical: causalis.data_contracts.causal_diagnostic_data.IVDiagnosticData.r1_hat
:type: numpy.ndarray
:value: >
   None

```{autodoc2-docstring} causalis.data_contracts.causal_diagnostic_data.IVDiagnosticData.r1_hat
```

````

````{py:attribute} folds
:canonical: causalis.data_contracts.causal_diagnostic_data.IVDiagnosticData.folds
:type: typing.Optional[numpy.ndarray]
:value: >
   None

```{autodoc2-docstring} causalis.data_contracts.causal_diagnostic_data.IVDiagnosticData.folds
```

````

````{py:attribute} psi
:canonical: causalis.data_contracts.causal_diagnostic_data.IVDiagnosticData.psi
:type: numpy.ndarray
:value: >
   None

```{autodoc2-docstring} causalis.data_contracts.causal_diagnostic_data.IVDiagnosticData.psi
```

````

````{py:attribute} psi_a
:canonical: causalis.data_contracts.causal_diagnostic_data.IVDiagnosticData.psi_a
:type: numpy.ndarray
:value: >
   None

```{autodoc2-docstring} causalis.data_contracts.causal_diagnostic_data.IVDiagnosticData.psi_a
```

````

````{py:attribute} psi_b
:canonical: causalis.data_contracts.causal_diagnostic_data.IVDiagnosticData.psi_b
:type: numpy.ndarray
:value: >
   None

```{autodoc2-docstring} causalis.data_contracts.causal_diagnostic_data.IVDiagnosticData.psi_b
```

````

````{py:attribute} phi_y
:canonical: causalis.data_contracts.causal_diagnostic_data.IVDiagnosticData.phi_y
:type: numpy.ndarray
:value: >
   None

```{autodoc2-docstring} causalis.data_contracts.causal_diagnostic_data.IVDiagnosticData.phi_y
```

````

````{py:attribute} phi_d
:canonical: causalis.data_contracts.causal_diagnostic_data.IVDiagnosticData.phi_d
:type: numpy.ndarray
:value: >
   None

```{autodoc2-docstring} causalis.data_contracts.causal_diagnostic_data.IVDiagnosticData.phi_d
```

````

````{py:attribute} score
:canonical: causalis.data_contracts.causal_diagnostic_data.IVDiagnosticData.score
:type: str
:value: >
   'LATE'

```{autodoc2-docstring} causalis.data_contracts.causal_diagnostic_data.IVDiagnosticData.score
```

````

````{py:attribute} trimming_threshold
:canonical: causalis.data_contracts.causal_diagnostic_data.IVDiagnosticData.trimming_threshold
:type: float
:value: >
   0.0

```{autodoc2-docstring} causalis.data_contracts.causal_diagnostic_data.IVDiagnosticData.trimming_threshold
```

````

````{py:attribute} normalize_ipw
:canonical: causalis.data_contracts.causal_diagnostic_data.IVDiagnosticData.normalize_ipw
:type: typing.Optional[bool]
:value: >
   None

```{autodoc2-docstring} causalis.data_contracts.causal_diagnostic_data.IVDiagnosticData.normalize_ipw
```

````

````{py:attribute} instrument_overlap
:canonical: causalis.data_contracts.causal_diagnostic_data.IVDiagnosticData.instrument_overlap
:type: typing.Optional[typing.Dict[str, typing.Any]]
:value: >
   None

```{autodoc2-docstring} causalis.data_contracts.causal_diagnostic_data.IVDiagnosticData.instrument_overlap
```

````

````{py:attribute} first_stage
:canonical: causalis.data_contracts.causal_diagnostic_data.IVDiagnosticData.first_stage
:type: typing.Optional[typing.Dict[str, typing.Any]]
:value: >
   None

```{autodoc2-docstring} causalis.data_contracts.causal_diagnostic_data.IVDiagnosticData.first_stage
```

````

````{py:attribute} reduced_form
:canonical: causalis.data_contracts.causal_diagnostic_data.IVDiagnosticData.reduced_form
:type: typing.Optional[typing.Dict[str, typing.Any]]
:value: >
   None

```{autodoc2-docstring} causalis.data_contracts.causal_diagnostic_data.IVDiagnosticData.reduced_form
```

````

````{py:attribute} diagnostics
:canonical: causalis.data_contracts.causal_diagnostic_data.IVDiagnosticData.diagnostics
:type: typing.Dict[str, typing.Any]
:value: >
   'Field(...)'

```{autodoc2-docstring} causalis.data_contracts.causal_diagnostic_data.IVDiagnosticData.diagnostics
```

````

`````

````{py:class} DiffInMeansDiagnosticData(/, **data: typing.Any)
:canonical: causalis.data_contracts.causal_diagnostic_data.DiffInMeansDiagnosticData

Bases: {py:obj}`causalis.data_contracts.causal_diagnostic_data.DiagnosticData`

```{autodoc2-docstring} causalis.data_contracts.causal_diagnostic_data.DiffInMeansDiagnosticData
```

```{rubric} Initialization
```

```{autodoc2-docstring} causalis.data_contracts.causal_diagnostic_data.DiffInMeansDiagnosticData.__init__
```

````

`````{py:class} CUPEDDiagnosticData(/, **data: typing.Any)
:canonical: causalis.data_contracts.causal_diagnostic_data.CUPEDDiagnosticData

Bases: {py:obj}`causalis.data_contracts.causal_diagnostic_data.DiagnosticData`

```{autodoc2-docstring} causalis.data_contracts.causal_diagnostic_data.CUPEDDiagnosticData
```

```{rubric} Initialization
```

```{autodoc2-docstring} causalis.data_contracts.causal_diagnostic_data.CUPEDDiagnosticData.__init__
```

````{py:attribute} ate_naive
:canonical: causalis.data_contracts.causal_diagnostic_data.CUPEDDiagnosticData.ate_naive
:type: float
:value: >
   None

```{autodoc2-docstring} causalis.data_contracts.causal_diagnostic_data.CUPEDDiagnosticData.ate_naive
```

````

````{py:attribute} se_naive
:canonical: causalis.data_contracts.causal_diagnostic_data.CUPEDDiagnosticData.se_naive
:type: float
:value: >
   None

```{autodoc2-docstring} causalis.data_contracts.causal_diagnostic_data.CUPEDDiagnosticData.se_naive
```

````

````{py:attribute} variance_reduction_pct_same_cov
:canonical: causalis.data_contracts.causal_diagnostic_data.CUPEDDiagnosticData.variance_reduction_pct_same_cov
:type: float
:value: >
   None

```{autodoc2-docstring} causalis.data_contracts.causal_diagnostic_data.CUPEDDiagnosticData.variance_reduction_pct_same_cov
```

````

````{py:attribute} standard_error_reduction_pct_same_cov
:canonical: causalis.data_contracts.causal_diagnostic_data.CUPEDDiagnosticData.standard_error_reduction_pct_same_cov
:type: float
:value: >
   None

```{autodoc2-docstring} causalis.data_contracts.causal_diagnostic_data.CUPEDDiagnosticData.standard_error_reduction_pct_same_cov
```

````

````{py:attribute} r2_naive
:canonical: causalis.data_contracts.causal_diagnostic_data.CUPEDDiagnosticData.r2_naive
:type: float
:value: >
   None

```{autodoc2-docstring} causalis.data_contracts.causal_diagnostic_data.CUPEDDiagnosticData.r2_naive
```

````

````{py:attribute} r2_adj
:canonical: causalis.data_contracts.causal_diagnostic_data.CUPEDDiagnosticData.r2_adj
:type: float
:value: >
   None

```{autodoc2-docstring} causalis.data_contracts.causal_diagnostic_data.CUPEDDiagnosticData.r2_adj
```

````

````{py:attribute} beta_covariates
:canonical: causalis.data_contracts.causal_diagnostic_data.CUPEDDiagnosticData.beta_covariates
:type: numpy.ndarray
:value: >
   None

```{autodoc2-docstring} causalis.data_contracts.causal_diagnostic_data.CUPEDDiagnosticData.beta_covariates
```

````

````{py:attribute} gamma_interactions
:canonical: causalis.data_contracts.causal_diagnostic_data.CUPEDDiagnosticData.gamma_interactions
:type: numpy.ndarray
:value: >
   None

```{autodoc2-docstring} causalis.data_contracts.causal_diagnostic_data.CUPEDDiagnosticData.gamma_interactions
```

````

````{py:attribute} covariate_outcome_corr
:canonical: causalis.data_contracts.causal_diagnostic_data.CUPEDDiagnosticData.covariate_outcome_corr
:type: typing.Optional[numpy.ndarray]
:value: >
   None

```{autodoc2-docstring} causalis.data_contracts.causal_diagnostic_data.CUPEDDiagnosticData.covariate_outcome_corr
```

````

````{py:attribute} covariates
:canonical: causalis.data_contracts.causal_diagnostic_data.CUPEDDiagnosticData.covariates
:type: typing.List[str]
:value: >
   None

```{autodoc2-docstring} causalis.data_contracts.causal_diagnostic_data.CUPEDDiagnosticData.covariates
```

````

````{py:attribute} adj_type
:canonical: causalis.data_contracts.causal_diagnostic_data.CUPEDDiagnosticData.adj_type
:type: str
:value: >
   None

```{autodoc2-docstring} causalis.data_contracts.causal_diagnostic_data.CUPEDDiagnosticData.adj_type
```

````

````{py:attribute} regression_checks
:canonical: causalis.data_contracts.causal_diagnostic_data.CUPEDDiagnosticData.regression_checks
:type: typing.Optional[causalis.scenarios.cuped.refutation.regression_checks.RegressionChecks]
:value: >
   None

```{autodoc2-docstring} causalis.data_contracts.causal_diagnostic_data.CUPEDDiagnosticData.regression_checks
```

````

`````
