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KRIS  

Keen and Reliable Interface Subroutines for Bioinformatic Analysis
View on CRAN: Click here


Download and install KRIS package within the R console
Install from CRAN:
install.packages("KRIS")

Install from Github:
library("remotes")
install_github("cran/KRIS")

Install by package version:
library("remotes")
install_version("KRIS", "1.1.6")



Attach the package and use:
library("KRIS")
Maintained by
Kridsadakorn Chaichoompu
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2018-05-07
Latest Update: 2021-01-21
Description:
Provides useful functions which are needed for bioinformatic analysis such as calculating linear principal components from numeric data and Single-nucleotide polymorphism (SNP) dataset, calculating fixation index (Fst) using Hudson method, creating scatter plots in 3 views, handling with PLINK binary file format, detecting rough structures and outliers using unsupervised clustering, and calculating matrix multiplication in the faster way for big data.
How to cite:
Kridsadakorn Chaichoompu (2018). KRIS: Keen and Reliable Interface Subroutines for Bioinformatic Analysis. R package version 1.1.6, https://cran.r-project.org/web/packages/KRIS. Accessed 04 Jun. 2026.
Previous versions and publish date:
1.0.3 (2018-05-07 15:38), 1.1.1 (2018-06-04 23:45)
Other packages that cited KRIS R package
View KRIS citation profile
Other R packages that KRIS depends, imports, suggests or enhances
Complete documentation for KRIS
Functions, R codes and Examples using the KRIS R package
Some associated functions: KRIS-package . cal.pc.linear . cal.pc.projection . fst.each.snp.hudson . fst.hudson . plot3views . read.bed . replace.missing . rubikclust . sample_labels . simsnp . write.bed . xxt . 
Some associated R codes: data.R . for_parallel.R . fst.R . kris.R . matrix.multiply.R . plinkformat.R . plot.3views.R . principal.component.R . pvalue.R . rubikClust.R .  Full KRIS package functions and examples
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