massUni: Mass-univariate Analysis

In egenn/rtemis: Machine Learning and Visualization

Mass-univariate Analysis

Description

Run a mass-univariate analysis: same features (predictors) on multiple outcomes

Usage

massUni(
  x,
  y,
  mod = "gam",
  save.mods = FALSE,
  verbose = TRUE,
  n.cores = rtCores,
  ...
)

Arguments

x	Matrix / data frame of features
y	Matrix / data frame of outcomes
mod	rtemis algorithm to use. Options: run select_learn()
save.mods	Logical: If TRUE, save fitted models
verbose	Logical: If TRUE, print messages during run
n.cores	Integer: Number of cores to use
...	Arguments to be passed to mod

Author(s)

E.D. Gennatas

egenn/rtemis documentation built on Dec. 17, 2024, 6:16 p.m.