Changes in version 1.1-3                        

    o   blrm: added sampling.args to hash digest

                 Changes in version 1.1-2 (2025-04-13)                  

    o   predict.blrm: fixed type='fitted' for binary Y; thanks Christian Hametner: <https://discourse.datamethods.org/t/bayesian-regression-modeling-strategies/6105/99>

    o   removed Ocens function which is now in rms 7.0

    o   changed to be compatible with storage of functions in rms::probabilityFamilies

    o   updated to use Ocens2ord on top of Ocens, needs rms 8.0-0

                 Changes in version 1.1-1 (2024-07-08)                  

    o   blrm: added argument showopt to show Stan optimizer steps, default is FALSE

    o   blrm: added options(rmsbmsg=FALSE) to allow the user to suppress information messages

    o   lrmconppot.stan: fixed bug for dim(C2) p -> q

    o   replaced use of survival::survConcordance and Hmisc::somers2 with concordancefit

                 Changes in version 1.1-0 (2024-03-12)                  

    o   Store cppo as deparsed for opt object from optimization (MLE) to prevent huge environment from being carried along

    o   blrm: Non-downward compatible changes: removed keepsep argument

    o   blrm: Added npcontrast argument for specification of priors for non-proportional-odds parameters in the constrained partial PO model through the use of contrasts, parallel to pcontrast for the PO part of the model; changed 3 stan code modules for this

                 Changes in version 1.0-0 (2023-09-26)                  

    o   blrm: added support for cmdstan and cmdstanr package using backend=

    o   When using cmdstan uses bayesplot package for pairs plots

    o   stanDx: new code for cmdstan diagnostics

    o   stackMI: corrected erroneous implementation of file= where it was only applying to one of the imputations; also handled generally the conversion of functions in fit object to character strings for efficient serializing

    o   Added non-exported function cluster so as to not depend on survival package

    o   blrm: added sampling.args argument

    o   blrm: trapped ppairs error in case plot region too small to hold graph

    o   blrm: added pcontrast argument for user-specified priors on linear combinations of regression coefficients; required changing all Stan code

    o   blrm: removed priorsd argument (NON-DOWNWARD-COMPATIBLE CHANGE)

                        Changes in version 0.1-0                        

    o   blrm: got around bug in model.response not keeping class Ocens

    o   soprobMarkovOrdPost: removed since Hmisc has soprobMarkovOrdm

    o   lrmconppot.stan: removed redundant pi simplex (thanks Mark Jones <mark.jones1@sydney.edu.au>

                        Changes in version 0.0-2                        

    o   Removed @title lines from Roxygen comments

    o   Enhanced predict.blrm and changed prediction methods to use it

    o   Changed storage of cppo function in fit object to character strings so as to not have saveRDS serialize it with all its environment data

    o   Added lrmconppot.stan to implement flat and t-distribution priors for intercepts

    o   blrm: added iprior argument for lrmconppot

    o   predict.blrm: fixed fun= with finint=FALSE