PXSgl: PXSgl

In yixuanh/PXStools:

PXSgl

Description

this function builds a polyexposure risk score considering interactions between exposures using the group lasso method

Usage

PXSgl(
  df,
  X,
  cov,
  mod,
  IDA,
  IDB,
  IDC,
  seed,
  removes = NULL,
  intermediate = F,
  folds = 10
)

Arguments

df	the data frame inpt
X	column name of signficant exposure variables from XWAS
cov	column name of covariates
mod	type of model to run; 'lm' for linear regression, 'logistic' for logistic regression; 'cox' for Cox regression
IDA	list of IDs to from XWAS procedure
IDB	list of IDs for testing set
IDC	list of IDs in the final prediction set
seed	setting a seed
removes	any exposure response to remove from XWAS, in the form of a list
intermediate	whether or not to save intermediate files
folds	number of folds for the cross validation step, default is 10.
fdr	whether or not to adjust for multiple hypothesis correctin

Author(s)

Yixuan He, [e-mail]

yixuanh/PXStools documentation built on July 27, 2022, 10:27 a.m.