glm.analysis.GxE: Carries out regression analysis
In agaye/ESPRESSO.GxE: Power Analysis and Sample Size Calculation for a gene-environment interaction model
Description
Usage
Arguments
Value
Author(s)
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
1
glm.analysis.GxE(pheno.model = NULL, observed.data = 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 and
z-statistic of each of the covariates
Author(s)
Gaye A.
agaye/ESPRESSO.GxE documentation built on May 10, 2019, 7:31 a.m.
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Description Usage Arguments Value Author(s)
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
1 | glm.analysis.GxE(pheno.model = NULL, observed.data = 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 and z-statistic of each of the covariates
Author(s)
Gaye A.
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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