[R-lang] Fwd: [R] [R-pkgs] New package: ordinal

Roger Levy rlevy@ling.ucsd.edu
Tue Mar 16 14:53:38 PDT 2010


This package looks like it could be of interest to many R-lang  
members...

Roger

Begin forwarded message:

> From: Rune Haubo <rhbc@imm.dtu.dk>
> Date: March 16, 2010 3:45:14 AM PDT
> To: r-packages@r-project.org
> Subject: [R] [R-pkgs] New package: ordinal
>
> This is to announce the new R-package ‘ordinal’ that implements
> cumulative link (mixed) models for ordinal (ordered categorical) data
> (http://www.cran.r-project.org/package=ordinal/).
>
> The main features are:
> -	scale (multiplicative) as well as location (additive) effects
> -	nominal effects for a subset of the predictors (denoted partial
> proportional odds when the link is the logistic)
> -	structured thresholds, e.g. assuming symmetry or equidistant  
> thresholds
> -	random effects via the Laplace approximation and adaptive
> Gauss-Hermite quadrature in the location-part of the model.
> -	a range of standard link functions
> -	flexible link functions where an extra link function-parameter
> bridges the log-log, probit and c-loglog links (log-gamma), and
> cloglog and logistic links (Aranda-Ordaz)
> -	a suite of optimizers including an efficient Newton scheme.
> -	works for binomial observations (a special case of ordinal data).
> -	a suite of methods including anova, addterm, dropterm, profile,
> confint, plot.profile, predict, in addition to the standard print and
> summary methods.
> -	an important special case is the proportional odds model (with
> random effects).
> -	a range of examples illustrates how to use the functions.
>
> Future additions will include:
> -	more general random effect structures: multiple (crossed and nested)
> and vector-valued random effects.
> -	profile methods for variance parameters in mixed effect models.
> -	helpful package vignettes.
> -	implementation of core functions in C.
>
> Comments, critique, suggestions, wishes and contributions are always
> highly appreciated.
>
> Kind regards
> Rune
>
> -- 
> Rune Haubo Bojesen Christensen
>
> PhD student, M.Sc. Eng.
> Phone: (+45) 45 25 33 63
> Mail: rhbc at imm.dtu.dk
>
> DTU Informatics, Section for Statistics
> Technical University of Denmark, Build. 305, Room 122,
> DK-2800 Kgs. Lyngby, Denmark
>
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--

Roger Levy                      Email: rlevy@ling.ucsd.edu
Assistant Professor             Phone: 858-534-7219
Department of Linguistics       Fax:   858-534-4789
UC San Diego                    Web:   http://ling.ucsd.edu/~rlevy










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