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

[Roger Levy]

Sorry, just saw this.

It seems like it's available now...

   http://cran.r-project.org/web/packages/ordinal/index.html

Roger

On May 1, 2010, at 6:05 PM, T. Florian Jaeger wrote:

> I can't find the package on CRAN. Has it been removed again?
>
> florian
>
> On Tue, Mar 16, 2010 at 5:53 PM, Roger Levy <rlevy@ling.ucsd.edu>  
> wrote:
> 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
>
> _______________________________________________
> R-packages mailing list
> R-packages@r-project.org
> https://stat.ethz.ch/mailman/listinfo/r-packages
>
> ______________________________________________
> R-help@r-project.org mailing list
> https://stat.ethz.ch/mailman/listinfo/r-help
> PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
> and provide commented, minimal, self-contained, reproducible code.
>
> --
>
> 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
>
>
>
>
>
>
>
>
>

--

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