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

T. Florian Jaeger tiflo@csli.stanford.edu
Sat May 1 18:05:10 PDT 2010


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
>>
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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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>
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