Package: GenomicSEM 0.0.5

Andrew Grotzinger

GenomicSEM: Structural equation modeling based on GWAS summary statistics

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Authors:Andrew Grotzinger, Matthijs van der Zee, Mijke Rhemtulla, Hill Ip, Michel Nivard, Elliot Tucker-Drob

# Install 'GenomicSEM' in R:

install.packages('GenomicSEM', repos = c('https://mrcieu.r-universe.dev', 'https://cloud.r-project.org'))

On CRAN:

Last updated 22 days agofrom:f590635acb. Checks:OK: 1 WARNING: 6. Indexed: no.

Help page	Topics
Combine LDSC and summary statistic output for multivariate GWAS using GenomicSEM	addSNPs
Run common factor model on genetic covariance and sampling covariance matrix	commonfactor
Estimate SNP effects on a single common factor	commonfactorGWAS
Estimate enrichment of model parameter for a user specified model	enrich
estimate a genetic covariance matrix using High Definition Likelihood (HDL) estimation in R	hdl
build a convariance structure using LD score regression in R	ldsc
localSRMD for Genomic measurement invariance models	localSRMD
Combine LDSC, summary statistic output, and LD information for models including multiple SNPs	multiSNP
Clean and munge files to enable LD score regression	munge
Format univariate FUSION TWAS output across multiple traits for subsequent use in a multivariate TWAS [T-SEM]	read_fusion
Estimate genetic covariance matrices within functional annotations using multivariable Stratified LD score regression	s_ldsc
Allign summary statistics from univariate GWAS for a GWAS in GenomicSEM	sumstats
Create genetic covariance matrices for individual SNPs and estimate SNP effects for a user specified multivariate GWAS	userGWAS
Run user specified model on LDSC output	usermodel
Automate writing model syntax using EFA output	write.model