gamlss (5.1-6)

0 users

Generalised Additive Models for Location Scale and Shape.

Functions for fitting the Generalized Additive Models for Location Scale and Shape introduced by Rigby and Stasinopoulos (2005), . The models use a distributional regression approach where all the parameters of the conditional distribution of the response variable are modelled using explanatory variables.

Maintainer: Mikis Stasinopoulos
Author(s): Mikis Stasinopoulos [aut, cre, cph], Bob Rigby [aut], Vlasios Voudouris [ctb], Calliope Akantziliotou [ctb], Marco Enea [ctb], Daniil Kiose [ctb]

License: GPL-2 | GPL-3

Uses:, gamlss.dist, MASS, nlme, survival
Reverse depends: acid, AGD, binequality, BSagri, chicane, gamlss.add, gamlss.cens, gamlss.countKinf, gamlss.demo, gamlss.dist, gamlss.inf,,, gamlss.spatial,, gamlss.util, ImputeRobust, metamicrobiomeR, semsfa, ZIBseq
Reverse suggests: aods3, auditor, bamlss, broom, broom.mixed, depmixS4, ensemblepp, gamboostLSS, hnp, insight, mice, mlt.docreg, MNM, npmlreg, parameters, PerformanceAnalytics, surveillance, texreg, tscount
Reverse enhances: MuMIn, texreg

Released 23 days ago.

43 previous versions



  (0 votes)


  (0 votes)

Log in to vote.


No one has written a review of gamlss yet. Want to be the first? Write one now.

Related packages: BMA, CDNmoney, Ecdat, Hmisc, MNP, Matrix, SparseM, VGAM, Zelig, aod, bayesm, betareg, boot, bootstrap, car, dynlm, effects, fxregime, gam, geepack(20 best matches, based on common tags.)

Search for gamlss on google, google scholar, r-help, r-devel.

Visit gamlss on R Graphical Manual.