1import statsmodels.regression.linear_model as lm_ 2import statsmodels.discrete.discrete_model as dm_ 3import statsmodels.regression.mixed_linear_model as mlm_ 4import statsmodels.genmod.generalized_linear_model as glm_ 5import statsmodels.robust.robust_linear_model as roblm_ 6import statsmodels.regression.quantile_regression as qr_ 7import statsmodels.duration.hazard_regression as hr_ 8import statsmodels.genmod.generalized_estimating_equations as gee_ 9import statsmodels.gam.generalized_additive_model as gam_ 10 11gls = lm_.GLS.from_formula 12wls = lm_.WLS.from_formula 13ols = lm_.OLS.from_formula 14glsar = lm_.GLSAR.from_formula 15mixedlm = mlm_.MixedLM.from_formula 16glm = glm_.GLM.from_formula 17rlm = roblm_.RLM.from_formula 18mnlogit = dm_.MNLogit.from_formula 19logit = dm_.Logit.from_formula 20probit = dm_.Probit.from_formula 21poisson = dm_.Poisson.from_formula 22negativebinomial = dm_.NegativeBinomial.from_formula 23quantreg = qr_.QuantReg.from_formula 24phreg = hr_.PHReg.from_formula 25ordinal_gee = gee_.OrdinalGEE.from_formula 26nominal_gee = gee_.NominalGEE.from_formula 27gee = gee_.GEE.from_formula 28glmgam = gam_.GLMGam.from_formula 29 30del lm_, dm_, mlm_, glm_, roblm_, qr_, hr_, gee_, gam_ 31 32__all__ = [ 33 "gee", 34 "glm", 35 "glmgam", 36 "gls", 37 "glsar", 38 "logit", 39 "mixedlm", 40 "mnlogit", 41 "negativebinomial", 42 "nominal_gee", 43 "ols", 44 "ordinal_gee", 45 "phreg", 46 "poisson", 47 "probit", 48 "quantreg", 49 "rlm", 50 "wls", 51] 52