The hardware and bandwidth for this mirror is donated by METANET, the Webhosting and Full Service-Cloud Provider.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]metanet.ch.
bggum provides an implementation for the Generalized
Graded Unfolding Model (GGUM) of Roberts, Donoghue, and Laughlin (2000)
for R. Rather than provide tools for marginal maximum likelihood
estimation, which is available from the package GGUM
currently available on
CRAN, we provide an implementation of the MCMC algorithm in de la
Torre et al (2006) as well as a Metropolis-coupled MCMC algorithm, both
coded in C++ to allow for reasonable execution time using Rcpp (and using probability
distribution functions written in C++ from RcppDist).
bggum
is not yet on CRAN. You can install the
development version from GitHub via
::install_github("duckmayr/bggum") devtools
Before contributing, please consult the contributing guidelines in CONTRIBUTING.md.
GPL (>= 2)
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.