Changes in version 1.0.4 (2025-05-16) o fixed Rd files and CITATION Changes in version 1.0.3 (2022-07-18) o replaced dDOUBLE_EPS with DBL_EPSILON Changes in version 1.0.2 (2020-01-30) o removed dependence on the orphaned geoR Changes in version 1.0.1 (2018-04-30) o Minor fixes introduced for CRAN compatibility (methods are no more imported, modified the citation of the car package) Changes in version 1.0.0 (2017-04-28) o published version: Masarotto, G. and Varin C. (2017). Gaussian Copula Regression in R. Journal of Statistical Software, 77(8), 1--26. doi:10.18637/jss.v077.i08 o included 'grDevices', 'utils', 'graphics', 'stats', 'Formula' in imports Changes in version 0.7.5 (2015-06-02) o vignette o improved plot method o vcov and summary re-designed o estfun works properly for clustered/longitudinal data o bug in update formula fixed o improved profile method o documentation updated o method coeftest.gcmr Changes in version 0.7.0 (2015-04-20) o depends and imports rearranged to conform with CRAN policies o plot method o summary and print methods redesigned o fitted.values returned o new examples o documentation corrected and updated o bug in 'beta.marg' fixed o subset affects id in 'cluster.cormat' Changes in version 0.6.1 (2013-07-29) o argument fixed now allows to fix all model parameters at the same time o documentation updated; appropriate references included Changes in version 0.6.0 (2013-07-12) o extended formula for dispersion modelling o beta regression model Changes in version 0.5.1 (2012-09-06) o bug in profile.gcmr fixed Changes in version 0.5.0 (2012-09-03) o box constraints for the parameters can be easily specified in marginal and cormat o switched to the .Call interface; C functions are now registered. o renamed marginal$sim to marginal$q (this method is yet unused in the exported interface) Changes in version 0.4 (2012-08-08) o long marginal name (gaussian not gs, poisson not ps) o Gamma and Weibull marginals o type="independence" for cluster.cormat o 'marginal' and 'cormat' arguments can be resolved in 'data' o optimization warning are given only for the final call of the numerical optimization routine