chemlm: chemlm

In kralljr/chemregr: Regression models for multiple chemical exposures

chemlm

Description

Regression models for multiple chemical exposures

Usage

chemlm(x, ...)

## Default S3 method:
chemlm(
  data,
  outcome,
  chem,
  value = "value",
  adjust = NULL,
  confound = NULL,
  family = "gaussian",
  type = "filter",
  mixed = F,
  id = NULL,
  weights = NULL,
  resid = F,
  corstr1 = "independence"
)

## S3 method for class 'chemlm'
print(x)

## S3 method for class 'chemlm'
plot(x, scales = "free", ncol = 3, facetchem = F, facetout = F)

## S3 method for class 'chemlm'
plot(x, scales = "free", ncol = 3, facetchem = F, facetout = F)

Arguments

data	dataset. data should be in "long" format with the chemical names in one column and the values in another
outcome	character outcome variable
chem	column name for chemical type (string format)
value	column name for value (string format)
adjust	function to modify chemicals (default is NULL)
confound	character vector of confound variables
family	regression family (default is linear model)
type	whether to filter results for only chem
mixed	whether mixed model (random intercept only currently)
id	id variable name
weights	weights variable name
resid	whether to output residuals

Details

chemlm Run regression model for chemical data

This is a function to run multiple regression models for chemical data, where each model is fitted to a single chemical at a time

Examples

data(simchemdat)
res <- chemlm(simchemdat, outcome = "out", chem = "chem")
print(res)
plot(res)

kralljr/chemregr documentation built on Nov. 28, 2022, 3:01 p.m.