MVP.FaSTLMM.LL: Evaluation of the maximum likelihood using FaST-LMM method
In rMVP: Memory-Efficient, Visualize-Enhanced, Parallel-Accelerated GWAS Tool
MVP.FaSTLMM.LL R Documentation
Evaluation of the maximum likelihood using FaST-LMM method
Description
Last update: January 11, 2017
Usage
MVP.FaSTLMM.LL(pheno, snp.pool, X0 = NULL, ncpus = 2)
Arguments
pheno
a two-column phenotype matrix
snp.pool
matrix for pseudo QTNs
X0
covariates matrix
ncpus
number of threads used for parallel computation
Value
Output: beta - beta effect
Output: delta - delta value
Output: LL - log-likelihood
Output: vg - genetic variance
Output: ve - residual variance
Author(s)
Xiaolei Liu (modified)
rMVP documentation built on Nov. 27, 2023, 5:09 p.m.
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| MVP.FaSTLMM.LL | R Documentation |
Evaluation of the maximum likelihood using FaST-LMM method
Description
Last update: January 11, 2017
Usage
MVP.FaSTLMM.LL(pheno, snp.pool, X0 = NULL, ncpus = 2)
Arguments
pheno |
a two-column phenotype matrix |
snp.pool |
matrix for pseudo QTNs |
X0 |
covariates matrix |
ncpus |
number of threads used for parallel computation |
Value
Output: beta - beta effect Output: delta - delta value Output: LL - log-likelihood Output: vg - genetic variance Output: ve - residual variance
Author(s)
Xiaolei Liu (modified)
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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