opt.glm: Core function used by autoGLM, for details and usage see...

In BPJandree/AutoGLM: Automated fitting, model selection, and documentation functions for GLM modelling of binary response variables.

Description

Core function used by autoGLM, for details and usage see autoGLM.

Usage

opt.glm(data, reclasstable = "default", class = 1,
  outputpath = paste(getwd(), "//", sep = ""), modelname = "autoGLM",
  tracelevel = 1, actions = c("print", "return"), NAval = -9999,
  model = "logit", preselect = "lm", method = "opt.ic", crit.t = 1.64,
  crit.p = 0.1, test = "LR", KLIC = "AICc", accuracytolerance = 0.025,
  confidence.alternative = 0.85, use.share = 0.25, maxsampleruns = 50,
  memorymanagement = TRUE)

Arguments

data	See also autoGLM.
reclasstable	autoGLM.
class	autoGLM.
outputpath	autoGLM.
modelname	autoGLM.
tracelevel	autoGLM.
actions	autoGLM.
NAval	autoGLM.
model	autoGLM.
preselect	autoGLM.
method	autoGLM.
crit.t	autoGLM.
crit.p	autoGLM.
test	autoGLM.
KLIC	autoGLM.
accuracytolerance	autoGLM.
confidence.alternative	autoGLM.
use.share	autoGLM.
maxsampleruns	autoGLM.
memorymanagement	autoGLM.

Value

a model object.

Examples

randomlogit <- simulateLogit(nobs=5000, pars = c(0.5, -0.4, -0.3, 0.1, 0, 0, 0, 0, 0, 0))
opt.glm(randomlogit, outputpath="C:\\users\\")

BPJandree/AutoGLM documentation built on May 5, 2019, 10:25 a.m.