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1 {"name":​"py27-​statsmodels",​"origin":​"math/​py-​statsmodels",​"version":​"0.​6.​1_1",​"comment":​"Complement·​to·​SciPy·​for·​statistical·​computations",​"maintainer":​"xmj@chaot.​net",​"www":​"https:​/​/​www.​github.​com/​statsmodels/​statsmodels",​"abi":​"FreeBSD:​11:​amd64",​"arch":​"freebsd:​11:​x86:​64",​"prefix":​"/​usr/​local",​"flatsize":​28851593,​"licenselogic":​"single",​"licenses":​["BSD3CLAUSE"],​"desc":​"Statsmodels·​is·​a·​Python·​package·​that·​provides·​a·​complement·​to·​scipy·​for\nstatistical·​computations·​including·​descriptive·​statistics·​and·​estimation·​and\ninference·​for·​statistical·​models.​\n\nMain·​Features:​\n*·​linear·​regression·​models:​·​GLS·​(including·​WLS·​and·​LS·​aith·​AR·​errors)​·​and·​OLS.​\n*·​glm:​·​Generalized·​linear·​models·​with·​support·​for·​all·​of·​the·​one-​parameter\n··​exponential·​family·​distributions.​\n*·​discrete:​·​regression·​with·​discrete·​dependent·​variables,​·​including·​Logit,​·​\n··​Probit,​·​MNLogit,​·​Poisson,​·​based·​on·​maximum·​likelihood·​estimators\n*·​rlm:​·​Robust·​linear·​models·​with·​support·​for·​several·​M-​estimators.​\n*·​tsa:​·​models·​for·​time·​series·​analysis··​✂1 {"name":​"py27-​statsmodels",​"origin":​"math/​py-​statsmodels",​"version":​"0.​6.​1_1",​"comment":​"Complement·​to·​SciPy·​for·​statistical·​computations",​"maintainer":​"xmj@chaot.​net",​"www":​"https:​/​/​www.​github.​com/​statsmodels/​statsmodels",​"abi":​"FreeBSD:​11:​amd64",​"arch":​"freebsd:​11:​x86:​64",​"prefix":​"/​usr/​local",​"flatsize":​28851593,​"licenselogic":​"single",​"licenses":​["BSD3CLAUSE"],​"desc":​"Statsmodels·​is·​a·​Python·​package·​that·​provides·​a·​complement·​to·​scipy·​for\nstatistical·​computations·​including·​descriptive·​statistics·​and·​estimation·​and\ninference·​for·​statistical·​models.​\n\nMain·​Features:​\n*·​linear·​regression·​models:​·​GLS·​(including·​WLS·​and·​LS·​aith·​AR·​errors)​·​and·​OLS.​\n*·​glm:​·​Generalized·​linear·​models·​with·​support·​for·​all·​of·​the·​one-​parameter\n··​exponential·​family·​distributions.​\n*·​discrete:​·​regression·​with·​discrete·​dependent·​variables,​·​including·​Logit,​·​\n··​Probit,​·​MNLogit,​·​Poisson,​·​based·​on·​maximum·​likelihood·​estimators\n*·​rlm:​·​Robust·​linear·​models·​with·​support·​for·​several·​M-​estimators.​\n*·​tsa:​·​models·​for·​time·​series·​analysis··​✂