Last data update: 2014.03.03

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Results 1 - 5 of 5 found.
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logmult : Log-Multiplicative Models, Including Association Models

Package: logmult
Type: Package
Title: Log-Multiplicative Models, Including Association Models
Version: 0.6.3
Date: 2016-01-15
Authors@R: c(person("Milan", "Bouchet-Valat", email="nalimilan@club.fr",
role=c("aut", "cre")),
person("Heather", "Turner", email="ht@heatherturner.net",
role="ctb"))
Imports: stats, utils, graphics, grDevices, qvcalc
Depends: gnm (>= 1.0-5)
Suggests: survey, boot, ellipse, parallel
Description: Functions to fit log-multiplicative models using gnm, with
support for convenient printing, plots, and jackknife/bootstrap
standard errors. For complex survey data, models can be fitted from
design objects from the 'survey' package. Currently supported models
include UNIDIFF (Erikson & Goldthorpe), a.k.a. log-multiplicative
layer effect model (Xie), and several association models: Goodman's
row-column association models of the RC(M) and RC(M)-L families
with one or several dimensions; two skew-symmetric association
models proposed by Yamaguchi and by van der Heijden & Mooijaart.
License: GPL (>= 2)
URL: https://github.com/nalimilan/logmult
BugReports: https://github.com/nalimilan/logmult/issues
NeedsCompilation: no
Packaged: 2016-01-15 10:49:10 UTC; milan
Author: Milan Bouchet-Valat [aut, cre],
Heather Turner [ctb]
Maintainer: Milan Bouchet-Valat <nalimilan@club.fr>
Repository: CRAN
Date/Publication: 2016-01-15 12:44:27

● Data Source: CranContrib
● 0 images, 22 functions, 6 datasets
● Reverse Depends: 0

multgee : GEE Solver for Correlated Nominal or Ordinal Multinomial Responses

Package: multgee
Type: Package
Title: GEE Solver for Correlated Nominal or Ordinal Multinomial
Responses
Version: 1.5.3
Date: 2016-02-03
Author: Anestis Touloumis <A.Touloumis@brighton.ac.uk>
Maintainer: Anestis Touloumis <A.Touloumis@brighton.ac.uk>
Depends: R (>= 2.15.0), gnm, VGAM
Imports: utils, stats
Description: GEE solver for correlated nominal or ordinal multinomial responses using a local odds ratios parameterization.
License: GPL-2 | GPL-3
LazyLoad: yes
NeedsCompilation: no
Packaged: 2016-02-03 00:19:05 UTC; Anestis
Repository: CRAN
Date/Publication: 2016-02-03 12:26:28

● Data Source: CranContrib
● 0 images, 8 functions, 2 datasets
● Reverse Depends: 0

StMoMo : Stochastic Mortality Modelling

Package: StMoMo
Title: Stochastic Mortality Modelling
Version: 0.3.1
Author: Andres Villegas <andresmauriciovillegas@gmail.com>,
Pietro Millossovich <Pietro.Millossovich.1@city.ac.uk>,
Vladimir Kaishev <Vladimir.Kaishev.1@city.ac.uk>
Maintainer: Andres Villegas <andresmauriciovillegas@gmail.com>
Description: Implementation of the family of generalised age-period-cohort
stochastic mortality models. This family of models encompasses many models
proposed in the actuarial and demographic literature including the Lee-Carter
model and the Cairns-Blake-Dowd model. It includes functions for fitting
mortality models, analysing their goodness-of-fit and performing mortality
projections and simulations.
URL: http://github.com/amvillegas/StMoMo
BugReports: http://github.com/amvillegas/StMoMo/issues
Imports: MASS, rootSolve (>= 1.6.5.1), fanplot (>= 3.4), reshape2 (>=
1.4.1), fields (>= 8.2), RColorBrewer
Depends: R (>= 3.2.0), gnm (>= 1.0), forecast (>= 6.1)
License: GPL (>= 2)
LazyData: true
Suggests: knitr, xtable
VignetteBuilder: knitr
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2016-02-09 18:48:25 UTC; Andres M Villegas
Repository: CRAN
Date/Publication: 2016-02-09 20:53:52

● Data Source: CranContrib
● 0 images, 51 functions, 1 datasets
● Reverse Depends: 0

vcdExtra : 'vcd' Extensions and Additions

Package: vcdExtra
Type: Package
Title: 'vcd' Extensions and Additions
Version: 0.7-0
Date: 2016-02-24
Authors@R: c(person(given = "Michael", family = "Friendly", role=c("aut", "cre"), email="friendly@yorku.ca"),
person(given = "Heather", family = "Turner", role="ctb"),
person(given = "Achim", family = "Zeileis", role="ctb"),
person(given = "Duncan", family = "Murdoch", role="ctb"),
person(given = "David", family = "Firth", role="ctb")
)
Author: Michael Friendly [aut, cre], Heather Turner [ctb], Achim Zeileis [ctb], Duncan Murdoch [ctb], David Firth [ctb]
Maintainer: Michael Friendly <friendly@yorku.ca>
Depends: R (>= 2.10), vcd, gnm (>= 1.0.3), grid
Suggests: gmodels, Fahrmeir, effects, VGAM, plyr, lmtest, nnet,
ggplot2, Sleuth2, car, lattice, stats4, rgl, AER
Imports: MASS, grDevices, stats, utils, ca
Description: Provides additional data sets, methods and documentation to complement the 'vcd' package for Visualizing Categorical Data
and the 'gnm' package for Generalized Nonlinear Models.
In particular, 'vcdExtra' extends mosaic, assoc and sieve plots from 'vcd' to handle 'glm()' and 'gnm()' models and
adds a 3D version in 'mosaic3d'. Additionally, methods are provided for comparing and visualizing lists of
'glm' and 'loglm' objects. This package is now a support package for the book, "Discrete Data Analysis with R" by
Michael Friendly and David Meyer.
License: GPL (>= 2)
URL: http://CRAN.R-project.org/package=vcdExtra
LazyLoad: yes
LazyData: yes
NeedsCompilation: no
Packaged: 2016-02-25 21:48:54 UTC; ligges
Repository: CRAN
Date/Publication: 2016-02-25 22:50:25

● Data Source: CranContrib
● 0 images, 28 functions, 43 datasets
● Reverse Depends: 0

prefmod : Utilities to Fit Paired Comparison Models for Preferences

Package: prefmod
Type: Package
Title: Utilities to Fit Paired Comparison Models for Preferences
Version: 0.8-33
Date: 2015-11-12
Authors@R: c(person(given = "Reinhold", family = "Hatzinger", role = "aut"),
person(given = c("Marco", "Johannes"), family = "Maier",
email = "marco.maier@wu.ac.at", role = "cre"))
Depends: R (>= 3.0.0), stats, graphics, gnm (>= 1.0-0), colorspace
Imports: grDevices, utils
Description: Generates design matrix for analysing real paired comparisons and derived paired comparison data (Likert type items/ratings or rankings) using a loglinear approach. Fits loglinear Bradley-Terry model (LLBT) exploiting an eliminate feature. Computes pattern models for paired comparisons, rankings, and ratings. Some treatment of missing values (MCAR and MNAR). Fits latent class (mixture) models for paired comparison, rating and ranking patterns using a non-parametric ML approach.
License: GPL (>= 2)
LazyData: yes
LazyLoad: yes
ByteCompile: yes
Encoding: UTF-8
NeedsCompilation: yes
Packaged: 2015-11-12 11:59:52 UTC; maier
Author: Reinhold Hatzinger [aut],
Marco Johannes Maier [cre]
Maintainer: Marco Johannes Maier <marco.maier@wu.ac.at>
Repository: CRAN
Date/Publication: 2015-11-12 19:12:40

● Data Source: CranContrib
● 0 images, 20 functions, 12 datasets
● Reverse Depends: 0