csranks 1.2.2

• Changed license to GPLv3

csranks 1.2.1

• Added new datasets, pisa2018 and pisa2022
• Updated CITATION and references
• Bugfix of plot.csranks with non default indices

csranks 1.2.0

• 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

csranks 1.1.1

• Optimized vcov.lmranks method

csranks 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)

csranks 1.0.0

• Release!
• irank now raises error if NAs present and na.rm=FALSE

csranks 0.5.0

• csranks now produces csranks object. List as before, but with new rank element
• Added plot.ranking function

csranks 0.4.1

• V argument (sd before 0.4) renamed to Sigma
• Adding irank and frank functions

csranks 0.4.0

• sd argument renamed to V; now accepts ONLY covariance matrix.
• *_marg and *_simul methods removed; use * with simul option.

csranks 0.3.0

• Added possibility of features to be correlated across populations. sd argument now can accept covariance matrix.

csranks 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.

csranks 0.1.0

• This is the first release of csranks.