trainModel-ClinicalModel-method: Fit a GLM Using Clinical Predictors Specified in a...

In bhklab/PanCuRx: Pancreatic Ductal Adenocarcinoma Tool-Kit

Description

Fit a GLM Using Clinical Predictors Specified in a ClinicalModel Object.

Usage

## S4 method for signature 'ClinicalModel'
trainModel(
  object,
  ...,
  family = binomial(link = "logit"),
  na.action = na.exclude
)

Arguments

object	A ClinicalModel object, with survival data for the model in the colData slot.
...	Fall through parameters to the stats::glm function.
family	Argument to the family parameter of stats::glm. Defaults to binomial(link='logit'). This parameter must be named.
na.action	Argument to the na.action paramater of stats::glm. Deafults to 'na.omit', dropping rows with NA values in one or more of the formula variables.

Value

A ClinicalModel object with a glm object in the models slot.

Examples

data(sampleClinicalModel)
set.seed(getModelSeed(sampleClinicalModel))

# Set parallelization settings
BiocParallel::register(BiocParallel::SerialParam())

trainedClinicalModel <- trainModel(sampleClinicalModel)

bhklab/PanCuRx documentation built on Dec. 30, 2021, 4:59 p.m.