glmhmmt/HOWTO.md,sha256=dwrw-LgIMqFG80FgCEy1wbRXbmyPHTaUCw-EdBsewr4,2909
glmhmmt/__init__.py,sha256=FSfe7KMAcGT-Tm8t6PfyX7XrNlmU_9-C95L_dpriR7E,2653
glmhmmt/choice_lag_tau.py,sha256=-aAZ0EgQJq4QkYUIqdVmggCgbrG3kkWzuKKNf_jG_Xc,19160
glmhmmt/glm.py,sha256=pr_p4jzHN-lnma_NL85IQWirkCdNEUN13YLzupLAkXM,17732
glmhmmt/model.py,sha256=cckG73BFXlZvLB4FI2moHsgVbxdjxE7Rr0Jk7aHwq30,43360
glmhmmt/model_plots.py,sha256=lHtowKMwbeQZ-hAboUEOXpXetyQuAs3FI2PjhOQtcrc,2973
glmhmmt/plots.py,sha256=BKL_PU9EpONFx7U_HWH7fef50-1Kj4KF9BkmHTKOFUQ,17605
glmhmmt/plots_common.py,sha256=pxRxc1RE97u_MtbYo9NfyYajQZdk_O1JbCEo3VL1PTQ,60960
glmhmmt/postprocess.py,sha256=Sh1XlVSYE2uv0gJWkeCtW3nRLSRJEPNrcJsjWGfmddo,36553
glmhmmt/py.typed,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
glmhmmt/runtime.py,sha256=sAfGbRF7rtPnVouRgqeXDED30jOW9PwmdOnOP89K5mc,9996
glmhmmt/simulator_3WM_numba.py,sha256=zd-09jufEzkFtxmfpYKwPF2QtphQNmVO957G5G_OTDQ,5648
glmhmmt/views.py,sha256=KiljI0uRrUTnTPMhY7VPUxlOdlcBxVukIpLiOWaetmc,13175
glmhmmt/cli/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
glmhmmt/cli/alexis_functions.py,sha256=WBWHQvn64g-zErpsgOlaRo6au-LrbCJSZFPBuTv7WPU,33457
glmhmmt/cli/fit_choice_lag_tau.py,sha256=L4fA3xku8ifQGb_VmrGu4IkDFa2r2zgVRUX6b8Mn2Ec,1711
glmhmmt/cli/fit_common.py,sha256=OObbTF_dtUEuta2CBl3ad8IK-UIX4MQtdc7vVB-py7M,14825
glmhmmt/cli/fit_glm.py,sha256=egvz8ZGwVv7WOjLjTlSGy-oPNXDFTUnZ96qt-Hxaks8,11814
glmhmmt/cli/fit_glm_cat.py,sha256=6igfNl0OcDkD--l_izUDQYijNYZPSZmY_2BB11VnBmc,6988
glmhmmt/cli/fit_glmhmm.py,sha256=QWKRyUwTLK2zbC1whJxKMlKVSf0I1Gtt8cwDMtJuyCU,25387
glmhmmt/cli/fit_glmhmmt.py,sha256=bWHQ2bivgIK8U5hmRGyLbDaZ3UjaCJkjs-dFVLr5LxA,24482
glmhmmt/cli/fit_tau_sweep.py,sha256=vEIphNKVnrJaneU694yJaX2VPXvRJXXiJu4F8AyDVtM,5203
glmhmmt/cli/glm_hmm.py,sha256=zMw8okImFDx6asA4cg-IHaSosKCUwRE5Z6j1HuevJgI,6905
glmhmmt/cli/init_config.py,sha256=Jgd1VeDm9fuUHTNIJtJ7jVqQxSn8QPGGk75kdQudj6g,1407
glmhmmt/model_plotting/__init__.py,sha256=esF-96kETuRtbVUESkCYMfZ6qm2W95qfCLA-liQp4EM,2214
glmhmmt/model_plotting/emissions.py,sha256=oAxEHn-gcPwMSnIMdvvpE3Q98OgwblaxzBJEhPdOibM,9865
glmhmmt/model_plotting/legacy.py,sha256=LM9mgFERfxPTsxllDI4fuFK_5E8LYJ14_OZrsNG1jYM,107832
glmhmmt/model_plotting/sessions.py,sha256=jvtSlIORTZanBTvwIZ1-fTP88d99ZQkn5KWVmMcW9Kc,4905
glmhmmt/model_plotting/states.py,sha256=AzV3zS5NkUlFDtvEYcao6D-F3uIjsI-BzCqvDdpsUCA,7687
glmhmmt/model_plotting/transitions.py,sha256=_fPuSlrHjtWmcrrMcQkWHzRnLEQ2p3kIum_9Dbvzf8w,1686
glmhmmt/model_plotting/utils.py,sha256=xTRc4qe0jK87acHy3KaUWIagQnJCOIH2fZHcdnJxluA,2197
glmhmmt/notebook_support/__init__.py,sha256=mzhJjyCxll6zgO6lKB2020CtzSKLP9lshu0w1wvytao,1586
glmhmmt/notebook_support/analysis_common.py,sha256=l0VBN7Ad8bCmn21lLArng72skXIDn8yUBFRruRJK6z8,18657
glmhmmt/notebook_support/anywidget_compat.py,sha256=VkxPT618Phrb0sjkymplzliAM3ZpbeIQTqcrL5_D3cY,179
glmhmmt/notebook_support/coefficient_editor_utils.py,sha256=JwqexaKQDxHbwGy7GPINssoWGiHDEKprZb-zWrSpd0Q,9817
glmhmmt/notebook_support/coefficient_editor_widget.css,sha256=qLL58OE5HRZYTjpUOBLERF848pvtJ--4_WrvYL6afWg,5951
glmhmmt/notebook_support/coefficient_editor_widget.js,sha256=M84m0j1RT2aKk6JU9g6FFeXqs5MyQCHI2Tz0oI1wq_M,9488
glmhmmt/notebook_support/coefficient_editor_widget.py,sha256=g42UxkKHRwZ67cl2p7Uvsq-MTcs-ZPMowl4-MBEhbM0,947
glmhmmt/notebook_support/figure_save_widget.css,sha256=d59YqphjbmuFexUVTAvTMdMkxOGUi3biNIslRfwJM1Y,2329
glmhmmt/notebook_support/figure_save_widget.js,sha256=GxrqdlyZFazYbvFRyzI-kp_tb63W7Pr4QxLZiC4lzLQ,1014
glmhmmt/notebook_support/widgets.py,sha256=Vl5BhYYp8dfC5Tj_l39SxeJM-KfLKRoFa55lKb9bST8,38365
glmhmmt/notebook_support/model_manager/__init__.py,sha256=7mDMrekrHzYPqzwF301JP_Y2jTA5TwHgLR8IeVdoCQc,97
glmhmmt/notebook_support/model_manager/widget.css,sha256=mLI04llZiR71TGBgj1jq9cNtVNmRu0aPjKA7JAkR7hc,29994
glmhmmt/notebook_support/model_manager/widget.js,sha256=E9O2NbgWL2wGFDnynltov9Gd2BN1awR0jswaR2QSZO8,27248
glmhmmt/notebook_support/model_manager/widget.py,sha256=bXLxL74Q3dvNk0B6DRL4Xf6Ymu6y1vbhhccGH9l2pzo,31405
glmhmmt/resources/default_config.toml,sha256=1q3d2c7XELF8_P_xLmWcip-fh4gzy4XoDVs_ibVUCHE,6086
glmhmmt/tasks/__init__.py,sha256=fN8OnfT4NL9jFZU1ZEMKuouCwN8_mG5g-8T4vDVTbrk,23467
glmhmmt/tasks/fitted_regressors.py,sha256=sSfz2cvUXcNxY3Kq9D2u0OqGQPcNFi1Et_RsPo_h8og,10256
glmhmmt-0.1.21.dist-info/METADATA,sha256=lpQDu9gC2lukRSar4uo_1o5oKz20oPcGBL2G0k_J464,5331
glmhmmt-0.1.21.dist-info/WHEEL,sha256=QccIxa26bgl1E6uMy58deGWi-0aeIkkangHcxk2kWfw,87
glmhmmt-0.1.21.dist-info/entry_points.txt,sha256=oT5rhRUNnbHu33ht6PKioj_kRzaW7mge4HLF2WjwhH0,332
glmhmmt-0.1.21.dist-info/RECORD,,
