pymgarch/__init__.py,sha256=VQfQgc30GKqZ10IyNPEfmSV9_oiHOEqiq6bt44kszTE,841
pymgarch/_kernels.py,sha256=MufUNaGz48Jt5xgk38HznbI-eKfoLa18P8rxvHJ90fw,6191
pymgarch/_version.py,sha256=HGBlVvZpQ8N2kh1n_LY5PM4s9ljcIgdbOCgXN-uFje4,520
pymgarch/bekk.py,sha256=PcaZIUbtG-Y_iLuFdjiK39D58TkHOsLgB35zI40qOZY,15687
pymgarch/copula.py,sha256=9cm3QVNqcHddp_lZDgdqlHF-uITDRkiBaFHb_eovoGg,30106
pymgarch/correlation.py,sha256=4OtR9G1zXaY3JjCXvCVPB0OKcYTn08jHwiYHAJBUWSg,2512
pymgarch/distributions.py,sha256=aspuGsEmhwEScVEvqPk9s2Z74NDgUFZGRx9S7ZpTq7k,1603
pymgarch/estimation.py,sha256=_qKLqtOAnQf8gWSGa1JTwxXllic9RMb8M35EUq3pKBE,10082
pymgarch/gogarch.py,sha256=Q1bfsGxeBlzTGhgiFY_2HFpCZ1YNXBV7-_gmf0qu31U,9848
pymgarch/ica.py,sha256=Ad2JQN0-XzAD7yLg1Hq3K4AS-KB_LJAspg1n84FPR20,3073
pymgarch/inference.py,sha256=JDrk-JALSCLKwvR0lf4CyR_mQgXaNgId4FCevzCVVXw,10096
pymgarch/marginals.py,sha256=eyeSChniRHolNFbKxf2uJD0XqGTFJfQMiObu7uVRSs0,10325
pymgarch/models.py,sha256=2wl6VFr3OaK4BwsVrwOGa0aF0OMuZhQkcFzXRj2XIqk,9820
pymgarch/results.py,sha256=7EwSmd3JMukgDMCnT6WzzLa0Iv_oDFwPOz3aACOxpQM,13676
pymgarch-0.4.0.dist-info/METADATA,sha256=UhNYlklSH29LfKAREEf9iHUECGShX1A5V_vngGlHkhw,5550
pymgarch-0.4.0.dist-info/WHEEL,sha256=W3fkpkm7-wf9vBI5Z-7s0eWkeM-spu78I8Neb98DeEg,87
pymgarch-0.4.0.dist-info/licenses/LICENSE,sha256=xZcIZv2XssQhcgjSFKJ4C6jRT-WVk4hGqcRvjNH0q34,1071
pymgarch-0.4.0.dist-info/RECORD,,
