Changelog

Source: NEWS.md

betaMC 1.3.4.9000

Minor

• New FSqMC(): Cohen’s f-squared and the local f-squared of each regressor.
• Faster Monte Carlo: the draws are screened and the effect sizes computed in C++ (Rcpp, RcppArmadillo), once per MC() or MCMI() call. The draws are the same as before for the same seed.
• The thetahatstar elements of mc and betamc objects are now matrices (one draw per row) instead of lists. mc objects also hold vechsigmacap and es.
• A draw that fails the admissibility checks 1000 times in a row is dropped (earlier versions could loop without end).
• Selective standardization: the arguments std_y and std_x standardize only y or only the named regressors (for example, leave a dummy variable in its 0-1 units). The defaults give the same results as before.

betaMC 1.3.4

CRAN release: 2026-06-11

Patch

• Minor documentation edits.

betaMC 1.3.3

CRAN release: 2025-10-19

Patch

• Minor edits to methods.

betaMC 1.3.2

CRAN release: 2024-04-14

Patch

• Minor documentation edits.

betaMC 1.3.1

CRAN release: 2023-10-15

Patch

• Minor edits to setting seed.

betaMC 1.3.0

CRAN release: 2023-08-22

Minor

• Added the MCMI() function to perform Monte Carlo simulation of parameters for data sets with missing values using multiple imputation.

betaMC 1.2.0

CRAN release: 2023-04-13

Minor

• The Monte Carlo simulation of parameters is done by the MC() function. The output of the MC() function is passed to the BetaMC(), RSqMC(), SCorMC(), DeltaRSqMC(), PCorMC(), and DiffBetaMC() functions to generate Monte Carlo confidence intervals for various regression effect sizes.

betaMC 1.0.0

CRAN release: 2023-01-09

Major

• And so it begins.