Other packages > Find by keyword >

selectiongain  

A Tool for Calculation and Optimization of the Expected Gain from Multi-Stage Selection
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("selectiongain", "2.0.710")



Attach the package and use:
library("selectiongain")
Maintained by
Xuefei Mi
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2008-11-24
Latest Update: 2022-09-17
Description:
Multi-stage selection is practiced in numerous fields of life and social sciences and particularly in breeding. A special characteristic of multi-stage selection is that candidates are evaluated in successive stages with increasing intensity and effort, and only a fraction of the superior candidates is selected and promoted to the next stage. For the optimum design of such selection programs, the selection gain plays a crucial role. It can be calculated by integration of a truncated multivariate normal (MVN) distribution. While mathematical formulas for calculating the selection gain and the variance among selected candidates were developed long time ago, solutions for numerical calculation were not available. This package can also be used for optimizing multi-stage selection programs for a given total budget and different costs of evaluating the candidates in each stage.
How to cite:
Xuefei Mi (2008). selectiongain: A Tool for Calculation and Optimization of the Expected Gain from Multi-Stage Selection. R package version 2.0.710, https://cran.r-project.org/web/packages/selectiongain. Accessed 18 Sep. 2026.
Previous versions and publish date:
(2026-07-09 07:02), 1.0 (2008-11-24 20:54), 1.1.7.0 (2011-10-23 12:10), 1.1.8.0 (2011-11-28 15:08), 1.2.1.0 (2011-12-10 12:13), 2.0.1 (2012-07-12 15:32), 2.0.6 (2013-05-02 08:01), 2.0.22 (2013-09-19 14:06), 2.0.23 (2013-09-25 20:25), 2.0.27 (2013-10-18 23:50), 2.0.28 (2013-10-23 00:51), 2.0.29 (2013-12-11 09:36), 2.0.40 (2014-12-29 14:32), 2.0.50.1 (2016-03-14 12:58), 2.0.591 (2016-10-09 17:54), 2.0.707 (2022-02-12 15:10)
Other packages that cited selectiongain R package
View selectiongain citation profile
Other R packages that selectiongain depends, imports, suggests or enhances
Complete documentation for selectiongain
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

injectoR  
R Dependency Injection
R dependency injection framework. Dependency injection allows a program design to follow the depend ...
Download / Learn more Package Citations See dependency  
r2resize  
In-Text Resize for Images, Tables and Fancy Resize Containers in 'shiny', 'rmarkdown' and 'quarto' Documents
Automatic resizing toolbar for containers, images and tables. Various resizable or expandable contai ...
Download / Learn more Package Citations See dependency  
downlit  
Syntax Highlighting and Automatic Linking
Syntax highlighting of R code, specifically designed for the needs of 'RMarkdown' packages like 'pk ...
Download / Learn more Package Citations See dependency  
hmeasure  
The H-Measure and Other Scalar Classification Performance Metrics
Classification performance metrics that are derived from the ROC curve of a classifier. The package ...
Download / Learn more Package Citations See dependency  
eyelinker  
Import ASC Files from EyeLink Eye Trackers
Imports plain-text ASC data files from EyeLink eye trackers into (relatively) tidy data frames for ...
Download / Learn more Package Citations See dependency  
data360r  
Wrapper for 'TCdata360' and 'Govdata360' API
Makes it easy to engage with the Application Program Interface (API) of the 'TCdata360' and 'Govdat ...
Download / Learn more Package Citations See dependency  

28,565

R Packages

239,283

Dependencies

75,677

Author Associations

28,566

Publication Badges

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