.internal/spec.md
In erickim/GA: Genetic Algorithms for Regression
Stat 243 Final Project: Genetic Algorithms Project Spec
(1) Create a package for variable selection in regression problems (including linear regression lm() and GLM's glm() - optionally glmnet()?) using AIC as the primary objective/fitness function (but allowing for user implemented fitness functions).
(2,3) The package should be properly modularized and vectorized. Optionally, itcan allow for parallelization.
(4,5,6) Provide documentation and a vignette with example code in a select.Rd file which also be generated by the roxygen2 package. Also provide unit tests using the testthat package.
(7) The final solution should have (a) the package generated using R CMD build GA or devtools::create and (b) a separate PDF vignette describing the solution, the process, and credit (hard copy to turn in).
(8,9,10) Functions for model fitting and those in base R / base installation packages do not need to be reimplemented. Use Git for version control. Make use of partner programming.
erickim/GA documentation built on May 28, 2019, 7:15 a.m.
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Stat 243 Final Project: Genetic Algorithms Project Spec
(1) Create a package for variable selection in regression problems (including linear regression lm() and GLM's glm() - optionally glmnet()?) using AIC as the primary objective/fitness function (but allowing for user implemented fitness functions).
(2,3) The package should be properly modularized and vectorized. Optionally, itcan allow for parallelization.
(4,5,6) Provide documentation and a vignette with example code in a select.Rd file which also be generated by the roxygen2 package. Also provide unit tests using the testthat package.
(7) The final solution should have (a) the package generated using R CMD build GA or devtools::create and (b) a separate PDF vignette describing the solution, the process, and credit (hard copy to turn in).
(8,9,10) Functions for model fitting and those in base R / base installation packages do not need to be reimplemented. Use Git for version control. Make use of partner programming.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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