glm.analysis.GxE: Carries out regression analysis
In kwesterman/ESPRESSO.GxE.RV: Power analysis and sample size calculation for a multi-variant gene-environment interaction model
View source: R/glm.analysis.GxE.R
glm.analysis.GxE R Documentation
Carries out regression analysis
Description
Fits a conventional unconditional logistic regression model with a binary or continuous phentype as outcome and the genetic, environmental, interaction determinants as covariates.
Usage
glm.analysis.GxE(pheno.model = NULL, observed.data = NULL, g.idx = NULL)
Arguments
pheno.model
Type of outcome; 0=binary and 1=continuous
observed.data
A dataframe that contains covariates and outcome data
Value
A vector containing the beta, standard-error, z-statistic, and p-value for each of the covariates
Author(s)
Gaye A.; Westerman K.
kwesterman/ESPRESSO.GxE.RV documentation built on Aug. 27, 2023, 4:44 a.m.
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.
View source: R/glm.analysis.GxE.R
| glm.analysis.GxE | R Documentation |
Carries out regression analysis
Description
Fits a conventional unconditional logistic regression model with a binary or continuous phentype as outcome and the genetic, environmental, interaction determinants as covariates.
Usage
glm.analysis.GxE(pheno.model = NULL, observed.data = NULL, g.idx = NULL)
Arguments
pheno.model |
Type of outcome; 0=binary and 1=continuous |
observed.data |
A dataframe that contains covariates and outcome data |
Value
A vector containing the beta, standard-error, z-statistic, and p-value for each of the covariates
Author(s)
Gaye A.; Westerman K.
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.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.