Package: wISAM 0.2.8

wISAM: Weighted Inbred Strain Association Mapping

In the course of a genome-wide association study, the situation often arises that some phenotypes are known with greater precision than others. It could be that some individuals are known to harbor more micro-environmental variance than others. In the case of inbred strains of model organisms, it could be the case that more organisms were observed from some strains than others, so the strains with more organisms have better-estimated means. Package 'wISAM' handles this situation by allowing for weighting of each observation according to residual variance. Specifically, the 'weight' parameter to the function conduct_scan() takes the precision of each observation (one over the variance).

Authors:Robert W. Cort <[email protected]>

wISAM_0.2.8.tar.gz
wISAM_0.2.8.zip(r-4.5)wISAM_0.2.8.zip(r-4.4)wISAM_0.2.8.zip(r-4.3)
wISAM_0.2.8.tgz(r-4.4-any)wISAM_0.2.8.tgz(r-4.3-any)
wISAM_0.2.8.tar.gz(r-4.5-noble)wISAM_0.2.8.tar.gz(r-4.4-noble)
wISAM_0.2.8.tgz(r-4.4-emscripten)wISAM_0.2.8.tgz(r-4.3-emscripten)
wISAM.pdf |wISAM.html
wISAM/json (API)

# Install 'wISAM' in R:
install.packages('wISAM', repos = c('https://rcorty.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/rcorty/wisam/issues

Datasets:

On CRAN:

geneticsgwasgwas-toolslmmmixed-models

2 exports 0.62 score 1 dependencies 16 scripts 123 downloads

Last updated 6 years agofrom:9d90e9d810. Checks:OK: 1 NOTE: 6. Indexed: yes.

TargetResultDate
Doc / VignettesOKAug 23 2024
R-4.5-winNOTEAug 23 2024
R-4.5-linuxNOTEAug 23 2024
R-4.4-winNOTEAug 23 2024
R-4.4-macNOTEAug 23 2024
R-4.3-winNOTEAug 23 2024
R-4.3-macNOTEAug 23 2024

Exports:check_eigen_decompositionGenomeScan

Dependencies:MASS

Readme and manuals

Help Manual

Help pageTopics
check_eigen_decompositioncheck_eigen_decomposition
Example covariate matrixcovariate_mat
calc_multiplier_eigenGenomeScan_calc_multiplier_eigen
conduct_scanGenomeScan_conduct_scan
fit_locusGenomeScan_fit_locus
fit_locus_given_h2GenomeScan_fit_locus_given_h2
initializeGenomeScan_initialize
prep_scanGenomeScan_prep_scan
GenomeScanGenomeScan GenomeScan-class
Example kinship matrixkinship_mat
Example locus listlocus_list
Example phenotypephenotype
Example standard error of the mean per strainse_mean_per_strain