Title: Correction of the P-Value after Multiple Coding in Generalized
Description: We propose to determine the correction of the significance level after multiple coding of an explanatory variable in Generalized Linear Model. The different methods of correction of the p-value are the Single step Bonferroni procedure, and resampling based methods developed by P.H.Westfall in 1993. Resampling methods are based on the permutation and the parametric bootstrap procedure. If some continuous, and dichotomous transformations are performed this package offers an exact correction of the p-value developed by B.Liquet & D.Commenges in 2005. The naive method with no correction is also available.
Depends: R (>= 2.10.0), mvtnorm, plyr, abind

Title: Conceptual Properties Norming Studies as Parameter Estimation
person("Enrique", "Canessa", role = "ths"),
person("Sergio", "Chaigneau", role = "ths"),
person("Rodrigo", "Lagos", role = "ths"),
person("Felipe", "Medina", role = "ths")
Description: Implementation of conceptual properties norming studies, including estimates of CPNs parameters with their corresponding variances and estimates for the sampling process. See Canessa et al. (2021) <doi:10.3758/s13428-020-01439-8>. "How to Carry Out Conceptual Properties Norming Studies as Parameter Estimation Studies: Lessons from Ecology".

Description: Implementation of conceptual properties norming studies, including estimates of CPNs parameters with their corresponding variances and estimates for the sampling process, and a sampling property function based on a modified empirical distribution from the original data.

Title: Composition of Probabilistic Preferences (CPP)
Author: Luiz O. Gavião, Annibal P. Sant'Anna, Gilson B.A. Lima and Pauli A.A. Garcia.
Maintainer: Luiz O. Gavião <luiz.gaviao67@gmail.com>
Description: CPP is a multiple criteria decision method to evaluate alternatives on complex decision making problems, by a probabilistic approach. The CPP was created and expanded by Sant'Anna, Annibal P. (2015) <doi:10.1007/978-3-319-11277-0>.
Depends: R (>= 2.1.0), ineq, kappalab, mc2d