plot.pltree()
kendallTau_permute()
and
kendallTau_bootstrap()
plot.PlackettLuce()
cassava
to the datasetscassava
consumer testing data and new
vignetteworth_map()
are extracted using
stats::coefficients()
instead of
psychotools::itempar()
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