person("Esther", "Pacitti", role = c("aut"), comment = "University of Montpellier"),
Packaged: 2019-08-22 12:34:38 UTC; heraldoborges
Esther Pacitti [aut] (University of Montpellier),

Packaged: 2020-01-23 12:49:53 UTC; heraldoborges

person("Esther", "Pacciti", role = c("aut"), comment = "INRIA/Polytech'Montpellier"),

Title: Strength Training Manual R-Language Functions
Description: Strength training prescription using percent-based approach requires
numerous computations and assumptions. 'STMr' package allow users to estimate
individual reps-max relationships, implement various progression tables, and
create numerous set and rep schemes. The 'STMr' package is originally created as
a tool to help writing Jovanović M. (2020) Strength Training Manual
Imports: dplyr, ggplot2, ggstance, magrittr, nlme, quantreg, stats,
Packaged: 2022-03-15 11:18:55 UTC; mladenjovanovic

Imports: dplyr, ggfittext, ggplot2, magrittr, nlme, quantreg, stats,
Packaged: 2022-08-31 16:29:03 UTC; mladenjovanovic

Packaged: 2022-09-17 10:38:04 UTC; mladenjovanovic

Title: Selection Threshold Optimized Empirically via Splitting
Author: Marinela Capanu, Mihai Giurcanu, Colin Begg, and Mithat Gonen
Description: A variable selection procedure for low to moderate size linear regressions models. This method repeatedly splits the data into two sets, one for estimation and one for validation, to obtain an empirically optimized threshold which is then used to screen for variables to include in the final model.
Packaged: 2019-06-13 17:20:14 UTC; mgiurcanu

Authors@R: c(person("Marinela", "Capanu", role = c("aut", "cre"), email = "capanum@mskcc.org"),
person("Mihai", "Giurcanu", role = c("aut", "ctb")),
Imports: MASS, cvTools, glmnet, changepoint
Description: Implements variable selection procedures for low to moderate size generalized linear regressions models. It includes the STOPES functions for linear regression (Capanu M, Giurcanu M, Begg C, Gonen M, Optimized variable selection via repeated data splitting, Statistics in Medicine, 2020, 19(6):2167-2184) as well as subsampling based optimization methods for generalized linear regression models (Marinela Capanu, Mihai Giurcanu, Colin B Begg, Mithat Gonen, Subsampling based variable selection for generalized linear models).
Packaged: 2022-05-25 14:35:54 UTC; mgiurcanu