Type: Package
Package: serp
Title: Smooth Effects on Response Penalty for 'CLM'
Version: 0.1.8
Author: Ejike R. Ugba [aut, cre, cph]
Maintainer: Ejike R. Ugba <ejike.ugba@outlook.com>
Description: A regularization method for the cumulative link
    models.  The 'smooth-effect-on-response penalty' ('SERP') provides
    flexible modelling of the ordinal model by enabling the smooth
    transition from the general cumulative link model to a coarser form of
    the same model. In other words, as the tuning parameter goes from zero
    to infinity, the subject-specific effects associated with each
    variable in the model tend to a unique global effect. The parameter
    estimates of the general cumulative model are mostly unidentifiable or
    at least only identifiable within a range of the entire parameter
    space. Thus, by maximizing a penalized rather than the usual
    non-penalized log-likelihood, this and other numerical problems common
    with the general model are to a large extent eliminated. Fitting is
    via a modified Newton's method. Several standard model performance and
    descriptive methods are also available. An outline of the penalty 
    implemented here is found in Tutz, G and Gertheiss, J (2016) 
    <doi:10.1177/1471082X16642560>.
License: GPL-2
URL: https://github.com/ejikeugba/serp
BugReports: https://github.com/ejikeugba/serp/issues
Depends: R (>= 3.2.0)
Imports: ordinal (>= 2016-12-12), stats
Suggests: covr, testthat, VGAM (>= 1.1-4)
Encoding: UTF-8
LazyData: True
RoxygenNote: 7.1.1
NeedsCompilation: no
Packaged: 2021-01-27 02:19:15 UTC; EJIKE
Repository: CRAN
Date/Publication: 2021-01-29 08:50:02 UTC
Built: R 3.6.3; ; 2021-05-12 18:18:28 UTC; windows
