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grmsem  

Genetic-Relationship-Matrix Structural Equation Modelling (GRMSEM)
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("grmsem", "1.1.0")



Attach the package and use:
library("grmsem")
Maintained by
Beate StPourcain
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2021-01-29
Latest Update: 2021-01-29
Description:
Quantitative genetics tool supporting the modelling of multivariate genetic variance structures in quantitative data. It allows fitting different models through multivariate genetic-relationship-matrix (GRM) structural equation modelling (SEM) in unrelated individuals, using a maximum likelihood approach. Specifically, it combines genome-wide genotyping information, as captured by GRMs, with twin-research-based SEM techniques, St Pourcain et al. (2017) , Shapland et al. (2020) .
How to cite:
Beate StPourcain (2021). grmsem: Genetic-Relationship-Matrix Structural Equation Modelling (GRMSEM). R package version 1.1.0, https://cran.r-project.org/web/packages/grmsem. Accessed 09 Mar. 2026.
Previous versions and publish date:
No previous versions
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View grmsem citation profile
Other R packages that grmsem depends, imports, suggests or enhances
Complete documentation for grmsem
Functions, R codes and Examples using the grmsem R package
Some associated functions: G.small . fit.large . grm.bin.input . grm.input . grmsem.biher . grmsem.fcoher . grmsem.fit . grmsem.stpar . grmsem.var . ph.large . ph.small . 
Some associated R codes: G.small.R . fit.large.R . grm.bin.input.R . grm.input.R . grmsem.biher.R . grmsem.fcoher.R . grmsem.fit.R . grmsem.stpar.R . grmsem.var.R . ph.large.R . ph.small.R .  Full grmsem package functions and examples
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