Package: partialrank
Title: Bayesian estimation of partial rank regression models
Version: 0.3.5
Date: 2025-10-22
Author: Christopher Adolph
Description: Partial rank data are observed up a known interval of ranks, 
              called a tier.  Information from known ranks can be used to 
              estimate relationships among, and unknown values of, partially
              observed ranks.  This package includes a Bayesian estimator
              for partial rank data based on the rank likelihood which 
              accounts for the dependencies across different ranked observations,
              as well censored regression and ordered probit approaches 
              which do not.  Also included are prediction functions
              for each model, and random number generators for partial 
              ranks.  Additional estimation functions allow for analysis with
              instrumental variables.
Maintainer: Christopher Adolph <cadolph@uw.edu>
License: GPL version 2 or later
Depends: R2WinBUGS, coda, lattice, MCMCpack
Suggests: MASS, tile, simcf, abind
NeedsCompilation: no
Packaged: 2025-10-22 21:10:44 UTC; cadolph
Built: R 4.5.1; ; 2025-10-22 21:25:02 UTC; windows
