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STPGA  

Selection of Training Populations by Genetic Algorithm
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("STPGA", "5.2.1")



Attach the package and use:
library("STPGA")
Maintained by
Deniz Akdemir
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2014-05-31
Latest Update: 2018-11-24
Description:
Combining Predictive Analytics and Experimental Design to Optimize Results. To be utilized to select a test data calibrated training population in high dimensional prediction problems and assumes that the explanatory variables are observed for all of the individuals. Once a "good" training set is identified, the response variable can be obtained only for this set to build a model for predicting the response in the test set. The algorithms in the package can be tweaked to solve some other subset selection problems.
How to cite:
Deniz Akdemir (2014). STPGA: Selection of Training Populations by Genetic Algorithm. R package version 5.2.1, https://cran.r-project.org/web/packages/STPGA. Accessed 07 Nov. 2024.
Previous versions and publish date:
1.0 (2014-05-31 15:06), 2.0 (2016-05-05 10:58), 3.0 (2016-08-09 11:41), 4.0 (2017-03-02 08:09), 5.0 (2018-07-22 14:50), 5.1 (2018-08-16 16:10), 5.2 (2018-09-21 23:40)
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Complete documentation for STPGA
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