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
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minMSE.pdf |minMSE.html
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 245 downloads 15 exports 2 dependencies

Last updated 3 years agofrom:343ca090a1. Checks:12 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKMar 07 2025
R-4.5-win-x86_64OKMar 07 2025
R-4.5-mac-x86_64OKMar 07 2025
R-4.5-mac-aarch64OKMar 07 2025
R-4.5-linux-x86_64OKMar 07 2025
R-4.4-win-x86_64OKMar 07 2025
R-4.4-mac-aarch64OKMar 07 2025
R-4.4-linux-x86_64OKMar 07 2025
R-4.4-mac-x86_64OKFeb 05 2025
R-4.3-win-x86_64OKMar 07 2025
R-4.3-mac-x86_64OKMar 07 2025
R-4.3-mac-aarch64OKMar 07 2025

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