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pisa2018
and pisa2022
plot.csranks
with non default indices
vcov.lmranks
methodlmranks
function for linear modelling of ranks using single rank covariate and possibly other, “usual” covariatesprint
, summary
, vcov
, confint
, predict
for lmranks
outputļm
(like sigma
, AIC
or influence
)irank
now raises error if NAs present and na.rm
=FALSEcsranks
now produces csranks
object. List as before, but with new rank
elementplot.ranking
functionV
argument (sd
before 0.4) renamed to Sigma
irank
and frank
functionssd
argument renamed to V
; now accepts ONLY covariance matrix.*_marg
and *_simul
methods removed; use *
with simul
option.sd
argument now can accept covariance matrix.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.
Health stats visible at Monitor.