trainModel-ClinicalModel-method: Fit a GLM Using Clinical Predictors Specified in a...
In bhklab/PDATK: Pancreatic Ductal Adenocarcinoma Tool-Kit

Description Usage Arguments Value Examples

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

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

`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.

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

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

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

trainedClinicalModel <- trainModel(sampleClinicalModel)