Package: minMSE 0.5.1

minMSE: Implementation of the minMSE Treatment Assignment Method for One or Multiple Treatment Groups

Performs treatment assignment for (field) experiments considering available, possibly multivariate and continuous, information (covariates, observable characteristics), that is: forms balanced treatment groups, according to the minMSE-method as proposed by Schneider and Schlather (2017) <doi:10419/161931>.

Authors:Sebastian O. Schneider, Giulia Baldini

minMSE_0.5.1.tar.gz
minMSE_0.5.1.zip(r-4.7)minMSE_0.5.1.zip(r-4.6)minMSE_0.5.1.zip(r-4.5)
minMSE_0.5.1.tgz(r-4.6-x86_64)minMSE_0.5.1.tgz(r-4.6-arm64)minMSE_0.5.1.tgz(r-4.5-x86_64)minMSE_0.5.1.tgz(r-4.5-arm64)
minMSE_0.5.1.tar.gz(r-4.7-arm64)minMSE_0.5.1.tar.gz(r-4.7-x86_64)minMSE_0.5.1.tar.gz(r-4.6-arm64)minMSE_0.5.1.tar.gz(r-4.6-x86_64)
minMSE_0.5.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html
card.svg |card.png
minMSE/json (API)

# Install 'minMSE' in R:
install.packages('minMSE', repos = c('https://sebastianoschneider.r-universe.dev', 'https://cloud.r-project.org'))
Uses libs:
  • c++– GNU Standard C++ Library v3

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

cpp

1.00 score 211 downloads 15 exports 2 dependencies

Last updated from:343ca090a1. Checks:13 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK129
linux-devel-x86_64OK132
source / vignettesOK175
linux-release-arm64OK108
linux-release-x86_64OK152
macos-release-arm64OK125
macos-release-x86_64OK187
macos-oldrel-arm64OK164
macos-oldrel-x86_64OK394
windows-develOK78
windows-releaseOK158
windows-oldrelOK78
wasm-releaseOK92

Exports:assign_minMSE_treatmentassign_treatmentcount_occurrencesevaluate_solutionevaluate_solution_matrixevaluate_solution_vectorevaluate_solution.optimoutput_fileplotting_filesample_with_prev_treatmentscale_varsswap_treatmentswap_treatment_prevswap_treatment.optimvector_gcd

Dependencies:MASSRcpp