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Changelog

Source: NEWS.md

csranks 1.3.0

CRAN release: 2026-08-21

  • Implemented vcov.ivregranks.
  • Implemented ivregranks - an extension of ivreg::ivreg for instrumental variable regression for ranked variables.
  • Added weights argument to lmranks command.
  • Implemented covariance matrix estimation for weighted regression with ranks.

csranks 1.2.3

CRAN release: 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

csranks 1.2.2

CRAN release: 2024-01-24

  • Changed license to GPL v3

csranks 1.2.1

CRAN release: 2023-12-16

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

csranks 1.2.0

CRAN release: 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

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.