simdata | R Documentation |
Simulated fine-mapping data set used to illustrate
mvSuSiE in the tutorial. The data set includes genotype and
phenotype data for 574 samples, 1,001 genetic markers and 20
traits. The traits were simulated from the mvSuSiE model with
coefficients simdata$B
and residual simdata$par$V
.
This is a simulation with three causal genetic variants at
positions 255, 335 and 493; that is, these are the only genetic
variants witih nonzero coefficients.
simdata
is a list with the following elements:
The matrix of simulated genotypes.
The matrix of simulated traits.
The coefficients used to simulate the data.
The residual covariance matrix used to simulated the data.
The collection of covariance matrices specifying the mvsusie prior.
The weights associated with the covariance matrices.
The sample size.
The LD computed from raw$X
.
The least-squares effect estimates from the
single-marker association tests computed using
univariate_regression
. (Note that X
was standardized before computing bhat
.)
The standard errors of the least-squares
effect estimates computed using
univariate_regression
. (Note that X
was standardized before computing sehat
.)
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