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:
minMSE_0.5.1.tar.gz
minMSE_0.5.1.zip(r-4.5)minMSE_0.5.1.zip(r-4.4)minMSE_0.5.1.zip(r-4.3)
minMSE_0.5.1.tgz(r-4.4-x86_64)minMSE_0.5.1.tgz(r-4.4-arm64)minMSE_0.5.1.tgz(r-4.3-x86_64)minMSE_0.5.1.tgz(r-4.3-arm64)
minMSE_0.5.1.tar.gz(r-4.5-noble)minMSE_0.5.1.tar.gz(r-4.4-noble)
minMSE_0.5.1.tgz(r-4.4-emscripten)minMSE_0.5.1.tgz(r-4.3-emscripten)
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')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 3 years agofrom:343ca090a1. Checks:OK: 9. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 07 2024 |
| R-4.5-win-x86_64 | OK | Nov 07 2024 |
| R-4.5-linux-x86_64 | OK | Nov 07 2024 |
| R-4.4-win-x86_64 | OK | Nov 07 2024 |
| R-4.4-mac-x86_64 | OK | Nov 07 2024 |
| R-4.4-mac-aarch64 | OK | Nov 07 2024 |
| R-4.3-win-x86_64 | OK | Nov 07 2024 |
| R-4.3-mac-x86_64 | OK | Nov 07 2024 |
| R-4.3-mac-aarch64 | OK | Nov 07 2024 |
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
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| minMSE Treatment Assignment for One or Multiple Treatment Groups - Wrapper | assign_minMSE_treatment |
| Min MSE Treatment Assignment | assign_treatment |
| Count of Equal Treatment Vectors | count_occurrences |
| Evaluate MSE Equation | evaluate_solution |
| Evaluate MSE Equation | evaluate_solution_matrix |
| Evaluate MSE Equation | evaluate_solution_vector |
| Evaluate MSE Equation (using optim) | evaluate_solution.optim |
| TXT File That Contains Additional Output Information | output_file |
| CSV File for Saving the Data to Plot | plotting_file |
| Sample Under Consideration of an Already Treated Subset of Units | sample_with_prev_treatment |
| Covariate Vectors Scaling | scale_vars |
| Swap Treatment | swap_treatment |
| Swap Treatment | swap_treatment_prev |
| Swap Treatment (using optim) | swap_treatment.optim |
| Vector Greatest Common Divisor | vector_gcd |
