EvaluateLinearModel: Function for evaluating linear model performance

In yanwu2014/perturbLM: A lightweight R package that uses linear models to analyze the effects of chemical/genetic perturbations, conditions, and disease states on single gene expression.

Function for evaluating linear model performance

Description

Function for evaluating linear model performance

Usage

EvaluateLinearModel(
  mdl.fit,
  x.test,
  y.test,
  groups,
  eval.metric,
  do.scale = T,
  min.cells = 3
)

Arguments

mdl.fit	Linear model fit on training data
x.test	Test design matrix
y.test	Test response
groups	Perturbation dictionary (in list format) or named vector
eval.metric	Model evaluation metric
do.scale	Whether to scale response before evaluation (only applies to pearson & spearman metrics)
min.cells	Minimum cells per group to include in evaluation

yanwu2014/perturbLM documentation built on Aug. 24, 2023, 2:28 p.m.