NEWS.md
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 independentlyplot_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 climatrends
rank_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”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