resample()
to re-sample Plackett-Luce coefficientsregret()
pairwise_probs()
to compare worth parameters following the Luce’s Axiomregret()
. Using sum(x^2)
instead of sum(x)^2
anova()
method for PlackettLuce modelslikelihood_ratio()
kendallTau()
returns Z-value and p-valuesrank_binomial()
and rank_paircomp()
are renamed as set_binomialfreq()
and set_paircomp()
, respectivelyvalidate.rankings
to rank_tricot()
to help in identifying possible issues in input tricot ranking like NA
, ties or letters different than A, B or Caverage
to kendallTau()
to allow returning the kendall correlation for each entry in a matrix and PlackettLuce rankingna.omit
to kendallTau()
to remove entries with NA
=
instead of <-
to avoid typing stressplot.pltree()
when multi-comparison is required but multicompView is not loaded.reliability()
, btpermute()
, pseudo_rank()
, kendallW()
plot.pltree()
to build branches and panels independentlyFirst version on CRAN
plot_tree()
rank_numeric()
deals with ids of class charactersref
can be used in multicompPL()
to select the reference itemplot()
method for summarise_agreement()
using the argument scales, where scales = 100
is to set the scale from 0-100 and scales = 1
for a scale from 0-1multcompPL()
rank_binomial()
in assigning the ids when argument disaggregate = TRUE
btpermute()
, with the fix n.formula = n.vars + 1forward()
btpermute()
is added for model selection with BTm()rainfall()
, temperature()
, ETo()
and GDD()
migrates to climatrendsrank_numeric()
in restricted to floating point numbers. Integer values are ranked as provided by input.rainfall()
and temperature()
now allows for time series indicesRename functions agreement()
, dominance()
, favourite()
, and victories()
with the tag summarise
and add it into summarise functions. No warking message provided. New functions are summarise_agreement()
, summarise_dominance()
, summarise_favourite()
, and summarise_victories()
Argument ‘index’ is removed from rainfall()
and temperature()
, all indices are given by default
.get_timeseries()
now implements the Euclidean method to search for its nearest neighbour in the nasapower output. This optmises the function and reduce dependenciespseudoR2()
as a S3 method for objects of class “glm”, “gnm”, “bttree” and “pltree”kendallTau()
as S3 method for objects of class “numeric”, “matrix”, “data.frame”, “rankings”, “grouped_rankings”agreement()
, dominance()
, favourite()
and victories()
predict()
method for crossvalidation and rank_decimal()
deprecatedrank_numeric()
and rank_tricot()
replaces rank_PL()
. NO warning message addedpredict()
method for crossvalidation objectspseudoR2()
for object of class “pltree” extracts null loglik from PlackettLuceto_rankings()
by rank_PL()
. Warning message addednum2rank()
by rank_decimal()
. No warning message addedto_paircomp()
by rank_paircomp()
. No warning message added