xval.glm: Run X-val on a set of glms

In Github-MS/xvalglms: Cross-validation for Generalized Linear Models

Description

Run X-val on a set of glms

Usage

xval.glm(
  data,
  models,
  glm.family = gaussian,
  folds = 10,
  repeats = 200,
  loss = NULL,
  numCore = NULL,
  plots = T,
  gray = F,
  seed = NULL,
  showConsoleOutput = T
)

Arguments

data	data.frame containing the data
models	list of model formulas, each list entry is used as a
glm.family	name of the glm family (see glm() for details), default is gaussian
folds	number of folds (default = 10)
repeats	number of repeats (default = 200)
loss	loss function for the GLM (default = NULL equals RMSE)
numCore	number of cores for use with parallel (default = NULL, equals no parallelization)
plots	output fancy plots with results
gray	output greyscale plots (default = F)
seed	seed for the folds (default = NULL, seed will be random)
showConsoleOutput	show console output, set to FALSE to suppress all conole output (default = TRUE)

Value

object of class xval.glm

Github-MS/xvalglms documentation built on March 9, 2021, 12:12 a.m.