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minMSE (version 0.5.1)

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

Description

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) .

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Version

Install

install.packages('minMSE')

Monthly Downloads

214

Version

0.5.1

License

GNU General Public License

Maintainer

Sebastian Schneider

Last Published

November 26th, 2021

Functions in minMSE (0.5.1)

count_occurrences

Count of Equal Treatment Vectors
plotting_file

CSV File for Saving the Data to Plot
output_file

TXT File That Contains Additional Output Information
evaluate_solution

Evaluate MSE Equation
sample_with_prev_treatment

Sample Under Consideration of an Already Treated Subset of Units
evaluate_solution_vector

Evaluate MSE Equation
assign_treatment

Min MSE Treatment Assignment
assign_minMSE_treatment

minMSE Treatment Assignment for One or Multiple Treatment Groups -- Wrapper
evaluate_solution_matrix

Evaluate MSE Equation
evaluate_solution.optim

Evaluate MSE Equation (using optim)
swap_treatment.optim

Swap Treatment (using optim)
swap_treatment_prev

Swap Treatment
vector_gcd

Vector Greatest Common Divisor
swap_treatment

Swap Treatment
scale_vars

Covariate Vectors Scaling