Touchard Model and Regression

Tools for analyzing count data with the Touchard model (Matsushita et al., 2018, Comm Stat Th Meth ). It includes univariate estimation (ML and MM) and regression tools developed by Andrade et al. (submitted).


News


** NEWS ** ** News for Package \pkg{touchard} ** ** https://CRAN.R-project.org/package=touchard **


Changes in version 2.0 (February 2019)

o Many changes motivated by submitted paper: Andrade, BB; Matsushita, RY; Oliveira, SB (submitted) Analyzing Count Data with the Touchard Model. \emph{Annals of Applied Stats}. o toureg() extensively modified: regression with log(mu) included; methods 'qp1', 'qp2' and 'glm' added. o predict.toureg() and plot.toureg() modified and no longer compatible with previous version. o hatvalues() and cooks.distance() replaced by hvalues() and cooks.dist(). o NEWS added.

Changes in version 1.0 (August 2018)

o The 'touchard' package was first published on CRAN. o rtouch() modified so that numerical arguments other than 'n' are recycled to the length of the result in accordance with other rng functions in R. o toureg() added: regression with log(lambda) = linear predictor.
o bug fixed in ptouch() when 'log=TRUE'. o tau() added (formerly invisible) allowing computation by truncation of series and (added) by recursion (stopping at given relative error). o Datasets Accidents and Crabs added.

Changes in versions 0.1.0, 0.1.1, 0.2.0 (2018)

o Package made available through author's website following publication of Matsushita RY, Pianto D, Andrade BB, Cancado A, Silva S (2018) The Touchard distribution, \emph{Communications in Statistics - Theory and Methods}, doi:10.1080/03610926.2018.1444177 .
o Contains only basic functionality: dtouch(), ptouch(), qtouch() and rtouch() and dataset Epilepsy.

Reference manual

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install.packages("touchard")

2.0 by Bernardo Andrade, 2 months ago


Browse source code at https://github.com/cran/touchard


Authors: Bernardo Andrade and Sandro Oliveira


Documentation:   PDF Manual  


GPL-2 license


Imports MASS, nleqslv, numDeriv, plotrix


See at CRAN