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wISAM
View on CRAN: Click
here
Download and install wISAM package within the R console
Install from CRAN:
install.packages("wISAM")
Install from Github:
library("remotes")
install_github("cran/wISAM")
Install by package version:
library("remotes")
install_version("wISAM", "0.2.8")
Attach the package and use:
library("wISAM")
Maintained by
Robert W. Cort
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2018-06-04
Latest Update: 2018-06-04
Description:
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).
How to cite:
Robert W. Cort (2018). wISAM: Weighted Inbred Strain Association Mapping. R package version 0.2.8, https://cran.r-project.org/web/packages/wISAM. Accessed 03 May. 2025.
Previous versions and publish date:
No previous versions
Other packages that cited wISAM R package
View wISAM citation profile
Other R packages that wISAM depends,
imports, suggests or enhances
Complete documentation for wISAM
Functions, R codes and Examples using
the wISAM R package
Some associated functions: GenomeScan-class . GenomeScan_calc_multiplier_eigen . GenomeScan_conduct_scan . GenomeScan_fit_locus . GenomeScan_fit_locus_given_h2 . GenomeScan_initialize . GenomeScan_prep_scan . check_eigen_decomposition . covariate_mat . kinship_mat . locus_list . phenotype . se_mean_per_strain .
Some associated R codes: GenomeScan.R . data.R . eigen_utils.R . Full wISAM package functions and examples
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