predictWithLinRegModel: Apply a fit linear model to predict the response based on new...

In CBIIT/rcellminerElasticNet: rcellminerElasticNet

Description

Apply a fit linear model to predict the response based on new data.

Usage

predictWithLinRegModel(
  model = NULL,
  useModelYIntercept,
  coeffVec = NULL,
  yIntercept = 0,
  newData
)

Arguments

model	A fit linear model (currently restricted to models of class enResults). If this parameter is provided, coeffVec and yIntercept parameters are not needed, and will be ignored if provided.
useModelYIntercept	A boolean value indicating whether to use the intercept term provided by the model (default = TRUE)
coeffVec	A named vector of coefficient weights (which need not be specified if model parameter is provided instead).
yIntercept	An intercept term (default = 0)
newData	A matrix with predictor variable data over observations (specified along rows or columns).

Value

A vector of predicted response values.

CBIIT/rcellminerElasticNet documentation built on Sept. 8, 2020, 6:21 p.m.