Packaged: 2021-10-08 22:50:26 UTC; Utilisateur

Depends: R (>= 3.5.0), doParallel, parallel, foreach, stats, copula

Description: Functions for testing randomness for a univariate time series with arbitrary distribution  (discrete, continuous, mixture of both types) and for testing  independence between random variables with arbitrary distributions. The test statistics are based on the multilinear empirical copula and multipliers are used to compute P-values. The test of independence between random variables appeared in  Genest, Nešlehová, Rémillard & Murphy (2019).
Packaged: 2022-05-04 16:02:39 UTC; Utilisateur

Packaged: 2022-10-04 13:04:48 UTC; Utilisateur

Author: Alicja Wolny-Dominiak and Michal Trzesiok
Description: The estimation of the parameters in Mixed Poisson models.

Description: The estimation of the parameters in mixed Poisson models.

Title: Statistical Tools for the Analysis of Psychophysical Data
person("Alessandro", "Moscatelli", email = "moskante@gmail.com", role = c("aut","cre"), comment = c(ORCID = "0000-0001-6269-4536")),
person("Priscilla", "Balestrucci", email = "priscilla.balestrucci@gmail.com", role = "aut", comment = c(ORCID = "0000-0002-5764-9439")))
Author: Alessandro Moscatelli [aut, cre] (0000-0001-6269-4536),
Description: Tools for the analysis of psychophysical data. This package allows to estimate the Point of Subjective Equivalence (PSE)
and the Just Noticeable Difference (JND), either from a psychometric function or from a Generalized Linear Mixed Model (GLMM).
Additionally, the package allows plotting the fitted models and the response data, simulating psychometric functions of different shapes, and simulating data sets.
For a description of the use of GLMMs applied to psychophysical data, refer to Moscatelli et al. (2012), <doi:10.1167/12.11.26>.
Imports: beepr, boot, brglm, lme4, Matrix, mnormt
Packaged: 2017-11-16 10:00:30 UTC; alessandro

Author: Alessandro Moscatelli [aut, cre]
Description: Tools for the analysis of psychophysical data in R. This package allows to estimate the Point of Subjective Equivalence (PSE)
For a description of the use of GLMMs applied to psychophysical data, refer to Moscatelli et al. (2012).
Imports: beepr, boot, brglm, lme4, Matrix, mnormt, ggplot2
Packaged: 2021-11-08 15:18:09 UTC; priscilla