Regularized Linear Models

be_zeroinfl | conduct backward stepwise variable elimination for zero... |

breadReg | Bread for Sandwiches in Regularized Estimators |

conv2glmreg | convert glm object to class glmreg |

conv2zipath | convert zeroinfl object to class zipath |

cv.glmreg | Cross-validation for glmreg |

cv.glmreg_fit | Internal function of cross-validation for glmreg |

cv.glmregNB | Cross-validation for glmregNB |

cv.nclreg | Cross-validation for nclreg |

cv.nclreg_fit | Internal function of cross-validation for nclreg |

cv.zipath | Cross-validation for zipath |

estfunReg | Extract Empirical First Derivative of Log-likelihood Function |

glmreg | fit a GLM with lasso (or elastic net), snet or mnet... |

glmreg_fit | Internal function to fit a GLM with lasso (or elastic net),... |

glmregNB | fit a negative binomial model with lasso (or elastic net),... |

hessianReg | Hessian Matrix of Regularized Estimators |

meatReg | Meat Matrix Estimator |

methods | Methods for mpath Objects |

mpath-internal | Internal mpath functions |

ncl | fit a nonconvex loss based robust linear model |

ncl_fit | Internal function to fit a nonconvex loss based robust linear... |

nclreg | fit a nonconvex loss based robust linear model with lasso (or... |

nclreg_fit | Internal function to fit a nonconvex loss based robust linear... |

plot.glmreg | plot coefficients from a "glmreg" object |

predict.glmreg | Model predictions based on a fitted "glmreg" object. |

predict.zipath | Methods for zipath Objects |

p_zipath | compute p-values from penalized zero-inflated model with... |

rzi | random number generation of zero-inflated count response |

sandwichReg | Making Sandwiches with Bread and Meat for Regularized... |

se | Standard Error of Regularized Estimators |

stan | standardize variables |

summary.glmregNB | Summary Method Function for Objects of Class 'glmregNB' |

tuning_zipath | find optimal penalized zero-inflated model |

zipath | Fit zero-inflated count data linear model with lasso (or... |

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