Other packages > Find by keyword >

wISAM  

Weighted Inbred Strain Association Mapping
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]
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 26 Aug. 2026.
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
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

nextGenShinyApps  
Craft Exceptional 'R Shiny' Applications and Dashboards with Novel Responsive Tools
Nove responsive tools for designing and developing 'Shiny' dashboards and applications. The scripts ...
Download / Learn more Package Citations See dependency  
ncodeR  
Techniques for Automated Classifiers
A set of techniques that can be used to develop, validate, and implement automated classifiers. A po ...
Download / Learn more Package Citations See dependency  
PCADSC  
Tools for Principal Component Analysis-Based Data Structure Comparisons
A suite of non-parametric, visual tools for assessing differences in data structures for two datase ...
Download / Learn more Package Citations See dependency  
SelvarMix  
Regularization for Variable Selection in Model-Based Clustering and Discriminant Analysis
Performs a regularization approach to variable selection in themodel-based clustering and classifica ...
Download / Learn more Package Citations See dependency  
leafgl  
High-Performance 'WebGl' Rendering for Package 'leaflet'
Provides bindings to the 'Leaflet.glify' JavaScript library which extends the 'leaflet' JavaScript l ...
Download / Learn more Package Citations See dependency  
clinUtils  
General Utility Functions for Analysis of Clinical Data
Utility functions to facilitate the import, the reporting and analysis of clinical data. Example ...
Download / Learn more Package Citations See dependency  

28,332

R Packages

239,283

Dependencies

75,113

Author Associations

28,333

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA