gWQS: Generalized Weighted Quantile Sum Regression
Version 1.0.0

Fits Weighted Quantile Sum (WQS) regressions for continuous or binomial outcomes.

Browse man pages Browse package API and functions Browse package files

AuthorStefano Renzetti, Paul Curtin, Allan C Just, Chris Gennings
Date of publication2016-10-21 21:38:22
MaintainerStefano Renzetti <stefano.renzetti88@gmail.com>
LicenseGPL (>= 2)
Version1.0.0
Package repositoryView on CRAN
InstallationInstall the latest version of this package by entering the following in R:
install.packages("gWQS")

Man pages

gwqs: Fitting Weighted Quantile Sum regression models
wqs_data: Exposure concentrations of 34 PCB (simulated dataset)

Functions

LBound Source code
UBound Source code
bounded_param Source code
check.function Source code
gwqs Man page Source code
linconst Source code
model.fit Source code
objfn Source code
optim.f Source code
par.modl.est Source code
plots Source code
quantile_f Source code
split_f Source code
tables Source code
values.0 Source code
wqs_data Man page

Files

inst
inst/doc
inst/doc/gwqs-vignette.html
inst/doc/gwqs-vignette.R
inst/doc/gwqs-vignette.Rmd
NAMESPACE
data
data/wqs_data.RData
R
R/wqs_helpers.R
R/gwqs.R
R/data.R
vignettes
vignettes/gwqs-vignette.Rmd
MD5
build
build/vignette.rds
DESCRIPTION
man
man/wqs_data.Rd
man/gwqs.Rd
gWQS documentation built on May 19, 2017, 4:33 p.m.