Changes in version 1.2.3.9000 Changes in version 1.2.3 (2024-09-12) - Fixed S3 inheritance for the proj method of lmranks. Added it to lmranks documentation page. - Changed column names of coefficients in summary.lmranks from t value to z value and from Pr(<|t|) to Pr(<|z|). - Removed line about residual degrees of freedom from print.summary.lmranks. - Example in csranks now calls data(pisa2018). - Clarified documentation of csranks function family. - Improved documentation of irank, frank, etc - Fixed typo in an error message - Updated tests Changes in version 1.2.2 (2024-01-24) - Changed license to GPL v3 Changes in version 1.2.1 (2023-12-16) - Added new datasets, pisa2018 and pisa2022 - Updated CITATION and references - Bugfix of plot.csranks with non default indices Changes in version 1.2.0 (2023-09-27) - Public release with contents of 1.1 (Rank-rank linear regression) - Added a new mode for regression with clustered (grouped) data - Bugfixes, doc, new vignette Changes in version 1.1.1 - Optimized vcov.lmranks method Changes in version 1.1.0 - Added lmranks function for linear modelling of ranks using single rank covariate and possibly other, "usual" covariates - Implemented methods print, summary, vcov, confint, predict for lmranks output - Disabled a number of methods defined for ļm (like sigma, AIC or influence) Changes in version 1.0.0 - Release! - irank now raises error if NAs present and na.rm=FALSE Changes in version 0.5.0 - csranks now produces csranks object. List as before, but with new rank element - Added plot.ranking function Changes in version 0.4.1 - V argument (sd before 0.4) renamed to Sigma - Adding irank and frank functions Changes in version 0.4.0 - sd argument renamed to V; now accepts ONLY covariance matrix. - *_marg and *_simul methods removed; use * with simul option. Changes in version 0.3.0 - Added possibility of features to be correlated across populations. sd argument now can accept covariance matrix. Changes in version 0.2.0 - Added implementation of confidence sets for ranks based on multinomial data. - Added implementation of confidence sets for tau-best and tau-worst. Changes in version 0.1.0 - This is the first release of csranks.