GGPA-internal: Internal GGPA objects

In GGPA: graph-GPA: A graphical model for prioritizing GWAS results and investigating pleiotropic architecture

Description

Internal GGPA objects.

Details

These are not to be called by the user.

Examples

# Load the included simulation data
data(simulation)

# fit GGPA model with 200 iterations and a burn-in of 200 iterations
# Note that we recommend more than 200 iterations in practice
fit <- GGPA( simulation$pmat, nMain = 200, nBurnin = 200)

# Association mapping with FDR of 0.1 and global control
head(assoc( fit, FDR=0.1, fdrControl="global" ))

# We may specift i = 1 and j = 2 if we are interested in that specific phenotype
head(assoc( fit, FDR=0.1, fdrControl="global", i=1, j=2 )) 

# Plot model fit
plot(fit)

GGPA documentation built on Nov. 8, 2020, 5:37 p.m.