regimes: Regression in Multivariate Exposure Settings
In AnderWilson/regimes: Regression in Multivariate Exposure Settings
regimes R Documentation
Regression in Multivariate Exposure Settings
Description
Regression methods for estimating the relationship between a multivariate exposure and an outcome. The package is oriented toward environmental health and environmental epidemiology research but is applicable in a variety of settings. The three main areas that are addressed in the the package are: 1) exposure to multiple agents; 2) exposure to one or more agents over time (e.g. over the course of pregnancy); and 3) confounder adjustment when estimate the effect of a multivariate exposure.
Author(s)
ander wilson <ander.wilson@colostate.edu>
AnderWilson/regimes documentation built on Aug. 5, 2023, 8:30 a.m.
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| regimes | R Documentation |
Regression in Multivariate Exposure Settings
Description
Regression methods for estimating the relationship between a multivariate exposure and an outcome. The package is oriented toward environmental health and environmental epidemiology research but is applicable in a variety of settings. The three main areas that are addressed in the the package are: 1) exposure to multiple agents; 2) exposure to one or more agents over time (e.g. over the course of pregnancy); and 3) confounder adjustment when estimate the effect of a multivariate exposure.
Author(s)
ander wilson <ander.wilson@colostate.edu>
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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