Skip to contents
-
acc()
- Compute prediction accuracy for a quantitative or binary trait
-
adjStat()
- Adjustment of marker summary statistics using clumping and thresholding
-
gbayes()
- Bayesian linear regression models
-
getG()
- Get elements from genotype matrix stored in PLINK bedfiles
-
gfilter()
- Filter genetic marker data based on different quality measures
-
glma()
- Single marker association analysis using linear models or linear mixed models
-
gmap()
- Finemapping using Bayesian Linear Regression Models
-
gprep()
- Prepare genotype data for all statistical analyses
-
greml()
- Genomic rescticted maximum likelihood (GREML) analysis
-
grm()
- Computing the genomic relationship matrix (GRM)
-
gscore()
- Genomic scoring based on single marker summary statistics
-
gsea()
- Gene set enrichment analysis
-
gsim()
- Genomic simulation
-
gsolve()
- Solve linear mixed model equations
-
ldsc()
- LD score regression
-
mtadj()
- Adjustment of marker effects using correlated trait information