Other packages > Find by keyword >

QTL.gCIMapping  

QTL Genome-Wide Composite Interval Mapping
View on CRAN: Click here


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

Install from Github:
library("remotes")
install_github("cran/QTL.gCIMapping")

Install by package version:
library("remotes")
install_version("QTL.gCIMapping", "3.4")



Attach the package and use:
library("QTL.gCIMapping")
Maintained by
Yuanming Zhang
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2018-04-24
Latest Update: 2022-02-24
Description:
Conduct multiple quantitative trait loci (QTL) and QTL-by-environment interaction (QEI) mapping via ordinary or compressed variance component mixed models with random- or fixed QTL/QEI effects. First, each position on the genome is detected in order to obtain a negative logarithm P-value curve against genome position. Then, all the peaks on each effect (additive or dominant) curve or on each locus curve are viewed as potential main-effect QTLs and QEIs, all their effects are included in a multi-locus model, their effects are estimated by both least angle regression and empirical Bayes (or adaptive lasso) in backcross and F2 populations, and true QTLs and QEIs are identified by likelihood radio test. See Zhou et al. (2022) and Wen et al. (2018) .
How to cite:
Yuanming Zhang (2018). QTL.gCIMapping: QTL Genome-Wide Composite Interval Mapping. R package version 3.4, https://cran.r-project.org/web/packages/QTL.gCIMapping. Accessed 22 Sep. 2026.
Previous versions and publish date:
(2026-07-09 08:17), 1.0 (2018-04-24 13:44), 2.0 (2018-04-30 11:19), 3.0 (2018-06-16 09:52), 3.1 (2018-10-17 07:30), 3.2 (2019-11-12 00:50), 3.3.1 (2020-10-12 06:40), 3.3 (2020-05-01 09:20)
Other packages that cited QTL.gCIMapping R package
View QTL.gCIMapping citation profile
Other R packages that QTL.gCIMapping depends, imports, suggests or enhances
Complete documentation for QTL.gCIMapping
Functions, R codes and Examples using the QTL.gCIMapping R package
Some associated functions: DHdata . Dodata . F2data . QTL.gCIMapping . Readdata . WangF . WangS . WenF . WenS . ZhouF . ZhouMethod . ZhouMethod_single_env . markerinsert . 
Some associated R codes: Dodata.R . QTL.gCIMapping.R . RcppExports.R . Readdata.R . WangF.R . ZhouF.R .  Full QTL.gCIMapping package functions and examples
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

cnum  
Chinese Numerals Processing
Chinese numerals processing in R, such as conversion between Chinese numerals and Arabic numerals a ...
Download / Learn more Package Citations See dependency  
spider  
Species Identity and Evolution in R
Analysis of species limits and DNA barcoding data. Included are functions for generating important s ...
Download / Learn more Package Citations See dependency  
jointseg  
Joint Segmentation of Multivariate (Copy Number) Signals
Methods for fast segmentation of multivariate signals into piecewise constant profiles and for gene ...
Download / Learn more Package Citations See dependency  
heatmaply  
Interactive Cluster Heat Maps Using 'plotly' and 'ggplot2'
Create interactive cluster 'heatmaps' that can be saved as a stand- alone HTML file, embedded in 'R ...
Download / Learn more Package Citations See dependency  
odns  
Access Scottish Health and Social Care Open Data
Allows potential users of Scottish Health and Social Care Open Data ( ...
Download / Learn more Package Citations See dependency  
Countr  
Flexible Univariate Count Models Based on Renewal Processes
Flexible univariate count models based on renewal processes. The models may include covariates and ...
Download / Learn more Package Citations See dependency  

28,720

R Packages

247,686

Dependencies

75,677

Author Associations

28,721

Publication Badges

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