getMainEffects: Get main effects from generalized linear model regression...

View source: R/inbixGAIN.R

getMainEffectsR Documentation

Get main effects from generalized linear model regression (parallel).

Description

getMainEffects

Usage

getMainEffects(
  labelledDataFrame,
  regressionFamily = "binomial",
  numCovariates = 0,
  writeBetas = FALSE,
  useBetas = FALSE,
  transformMethod = "",
  numCores = 2,
  verbose = FALSE
)

Arguments

labelledDataFrame

data.frame with variables in columns and samples in rows.

regressionFamily

string glm regression family name.

numCovariates

numeric of included covariates.

writeBetas

logical indicating whther to write beta values to separate file.

useBetas

logical indicating betas rather than standardized betas used.

transformMethod

string optional transform method.

numCores

numeric number of processor cores to use in mclapply

verbose

logical to send verbose messages to stdout.

Value

mainEffectValues vector of main effect values.

See Also

rankUnivariateRegression

Other GAIN functions: dcgain(), dmgain(), fitInteractionModel(), fitMainEffectModel(), gainToSimpleSIF(), getInteractionEffects(), regainParallel(), regain()

Other inbix synonym functions: dcgain(), regainParallel(), regain()


insilico/npdro documentation built on July 1, 2023, 2:56 p.m.