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csranks 1.2.3

• 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

csranks 1.2.2

• Changed license to GPL v3

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.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.