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ImpShrinkage - Improved Shrinkage Estimations for Multiple Linear Regression

A variety of improved shrinkage estimators in the area of statistical analysis: unrestricted; restricted; preliminary test; improved preliminary test; Stein; and positive-rule Stein. More details can be found in chapter 7 of Saleh, A. K. Md. E. (2006) <ISBN: 978-0-471-56375-4>.

Last updated 10 months ago

3.60 score 4 stars 1 scripts 212 downloads

TestIndVars - Testing the Independence of Variables for Specific Covariance Structures

Test the nullity of covariances, in a set of variables, using a simple univariate procedure. See Marques, Diogo, Norouzirad, Bispo (2023) <doi:10.1002/mma.9130>.

Last updated 8 months ago

3.48 score 153 downloads

CBPE - Correlation-Based Penalized Estimators

Provides correlation-based penalty estimators for both linear and logistic regression models by implementing a new regularization method that incorporates correlation structures within the data. This method encourages a grouping effect where strongly correlated predictors tend to be in or out of the model together. See Tutz and Ulbricht (2009) <doi:10.1007/s11222-008-9088-5> and Algamal and Lee (2015) <doi:10.1016/j.eswa.2015.08.016>.

Last updated 2 months ago

3.18 score 227 downloads