fit.response: Methods to get response from fitted models

In lampk/R306:

Description

Methods to get response from fitted models

Usage

fit.response(fitModel, data, type = c("lm", "glm", "glm.step.AIC",
  "glm.step.BIC", "glm.best.AIC", "glm.best.BIC", "gam", "glmnet", "glmnet.1se",
  "glmnet.cv", "glmnet.boot", "adaptiveLASSO", "SCAD", "penalized", "stability",
  "stability.step.AIC", "cox", "cox.step.AIC", "cox.step.BIC", "cox.best.AIC",
  "cox.best.BIC", "glmnet.cox1", "glmnet.cox2", "rpart1", "rpart2",
  "randomForest", "gbm", "gbm.cox", "coxtv", "coxtv.step.AIC",
  "coxtv.step.BIC"), ...)

fit.response.lm(fitModel, data, ...)

fit.response.glm(fitModel, data, ...)

fit.response.cox(fitModel, data, ...)

fit.response.coxtv(fitModel, data, restype = c("risk", "lp"), id,
  save.data = TRUE, t.hor, ...)

fit.response.glmnet(fitModel, data, ...)

fit.response.glmnet.1se(fitModel, data, ...)

fit.response.glmnet.cv(fitModel, data, ...)

fit.response.glmnet.boot(fitModel, data, ...)

fit.response.penalized(fitModel, data, ...)

fit.response.scad(fitModel, data, ...)

fit.response.gam(fitModel, data, ...)

fit.response.rpart(fitModel, data, ...)

fit.response.randomForest(fitModel, data, ...)

fit.response.gbm(fitModel, data, ...)

Arguments

fitModel	Fitted model to get response
data	Data to get response
...	Other arguments

Value

Vector of response

Functions

• fit.response.lm: Linear regression

• fit.response.glm: Logistic regression

• fit.response.cox: Cox regression

• fit.response.coxtv: Cox regression with time-dependent variable

• fit.response.glmnet: GLM LASSO (using glmnet, choose the minimum lambda)

• fit.response.glmnet.1se: GLM LASSO (using glmnet, choose the minimum lambda within 1 se)

• fit.response.glmnet.cv: GLM LASSO (using glmnet, choose the minimum lambda)

• fit.response.glmnet.boot: GLM LASSO (using glmnet, choose the minimum lambda)

• fit.response.penalized: GLM LASSO (using penalized)

• fit.response.scad: GLM with SCAD (choose the minimum lambda)

• fit.response.gam: GAM

• fit.response.rpart: CART

• fit.response.randomForest: Random forest

• fit.response.gbm: Boosting

lampk/R306 documentation built on May 20, 2019, 7:34 p.m.