cate: High Dimensional Factor Analysis and Confounder Adjusted Testing and Estimation

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

Author
Jingshu Wang [aut], Qingyuan Zhao [aut, cre]
Date of publication
2015-10-05 12:37:43
Maintainer
Qingyuan Zhao <qyzhao@stanford.edu>
License
GPL-2
Version
1.0.4

View on CRAN

Man pages

adjust.latent
Adjust for latent factors, after rotationn
cate
The main function for confounder adjusted testing
cate-package
High dimensional factor analysis and confounder adjusted...
EigenDiff
the ed method to estimate the number of factors proposed by...
est.confounder.num
Estimate the number of confounders
factor.analysis
Factor analysis
fa.em
Factor analysis via EM algorithm to maximize likelihood
fa.pc
Factor analysis via principal components
gender.sm
Gender study dataset
gen.sim.data
Generate simulation data set
IPOD
changed IPOD function
leapp
original leapp function only added the resOpt.scale(beta.t)...
parse.cate.formula
Parse the formula in 'cate', and return a matrix of primary...
rlm.cate
Robust linear regression
wrapper
Wrapper functions for some previous methods

Files in this package

cate
cate/inst
cate/inst/doc
cate/inst/doc/cate-vignette.Rnw
cate/inst/doc/cate-vignette.R
cate/inst/doc/cate-vignette.pdf
cate/NAMESPACE
cate/data
cate/data/gender.sm.rda
cate/R
cate/R/adjust_functions.R
cate/R/other_methods.R
cate/R/simulate_functions.R
cate/R/datasets.R
cate/R/cate.R
cate/R/factor_functions.R
cate/vignettes
cate/vignettes/cate-vignette.Rnw
cate/MD5
cate/build
cate/build/vignette.rds
cate/DESCRIPTION
cate/man
cate/man/gen.sim.data.Rd
cate/man/adjust.latent.Rd
cate/man/EigenDiff.Rd
cate/man/est.confounder.num.Rd
cate/man/leapp.Rd
cate/man/rlm.cate.Rd
cate/man/cate-package.Rd
cate/man/factor.analysis.Rd
cate/man/gender.sm.Rd
cate/man/wrapper.Rd
cate/man/IPOD.Rd
cate/man/fa.em.Rd
cate/man/fa.pc.Rd
cate/man/cate.Rd
cate/man/parse.cate.formula.Rd