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.