train: train

In mvaniterson/wbccPredictor: A gene expression or DNA methylation based predictor for white blood cell counts

Description

train predictor

Usage

train(data, covariates, cellPercentages, model = formula(cellPercentages ~
  covariates + data), ncomp = 50, keep.model = FALSE, ...)

Arguments

data	matrix with gene expression(counts) or DNA methylation beta-values
covariates	matrix of covariates to correct for in the model e.g. Age and Gender
cellPercentages	matrix of cell percentages for which the predictor will be trained
model	formula e.g. log10(cellPercentages+1)~covariates+data
ncomp	total number of pls components that will be tested
keep.model	logical default FALSE do not return full pls-model
...	additional parameters for plsr see ?plsr

Value

prediction model plsr object

Author(s)

mvaniterson

mvaniterson/wbccPredictor documentation built on May 23, 2019, 10:53 a.m.