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GEint  

Misspecified Models for Gene-Environment Interaction
View on CRAN: Click here


Download and install GEint package within the R console
Install from CRAN:
install.packages("GEint")

Install from Github:
library("remotes")
install_github("cran/GEint")

Install by package version:
library("remotes")
install_version("GEint", "1.0")



Attach the package and use:
library("GEint")
Maintained by
Ryan Sun
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2016-10-01
Latest Update: 2023-03-31
Description:
The first major functionality is to compute the bias in misspecified linear gene-environment interaction models. The most generalized function for this objective is GE_bias(). However GE_bias() requires specification of many higher order moments of covariates in the model. If users are unsure about how to calculate/estimate these higher order moments, it may be easier to use GE_bias_normal_squaredmis(). This function places many more assumptions on the covariates (most notably that they are all jointly generated from a multivariate normal distribution) and is thus able to automatically calculate many of the higher order moments automatically, necessitating only that the user specify some covariances. There are also functions to solve for the bias through simulation and non-linear equation solvers, these can be used to check your work. Second major functionality is to implement the Bootstrap Inference with Correct Sandwich (BICS) testing procedure, which we have found to provide better finite-sample performance than other inference procedures for testing GxE interaction. More details on these functions are available in Sun, Carroll, Christiani, and Lin (2018) .
How to cite:
Ryan Sun (2016). GEint: Misspecified Models for Gene-Environment Interaction. R package version 1.0, https://cran.r-project.org/web/packages/GEint. Accessed 21 Nov. 2024.
Previous versions and publish date:
0.1.1 (2016-10-01 01:07), 0.1.2 (2017-01-06 23:06), 0.1.4 (2017-08-09 22:33), 0.1.5 (2019-01-15 06:20), 1.0 (2022-05-18 09:20)
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