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cate (version 1.1.1)

High Dimensional Factor Analysis and Confounder Adjusted Testing and Estimation

Description

Provides several methods for factor analysis in high dimension (both n,p >> 1) and methods to adjust for possible confounders in multiple hypothesis testing.

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Version

Install

install.packages('cate')

Monthly Downloads

99

Version

1.1.1

License

GPL-2

Maintainer

Qingyuan Zhao

Last Published

June 23rd, 2020

Functions in cate (1.1.1)

check.rank

Check linear dependence
fa.em

Factor analysis via EM algorithm to maximize likelihood
fa.pc

Factor analysis via principal components
cate-package

High dimensional factor analysis and confounder adjusted testing and estimation (CATE)
cate

The main function for confounder adjusted testing
est.confounder.num

Estimate the number of confounders
adjust.latent

Adjust for latent factors, after rotationn
factor.analysis

Factor analysis
IPOD

changed IPOD function
EigenDiff

the ed method to estimate the number of factors proposed by Onatski(2010)
gen.sim.data

Generate simulation data set
parse.cate.formula

Parse the formula in cate, and return a matrix of primary variables and a matrix of nuisance variables.
leapp

original leapp function only added the resOpt.scale(beta.t) return
wrapper

Wrapper functions for some previous methods
rlm.cate

Robust linear regression
gender.sm

Gender study dataset