clipr, gdata, graphics, grDevices, stats, utils

clipr, gdata, geoscale, graphics, grDevices, methods, stats,
utils
Measures morphological diversity from discrete character data and
estimates evolutionary tempo on phylogenetic trees. Imports morphological
data from #NEXUS (Maddison et al. (1997) <doi:10.1093/sysbio/46.4.590>)
format with read_nexus_matrix(), and writes to both #NEXUS and TNT format
(Goloboff et al. (2008) <doi:10.1111/j.1096-0031.2008.00217.x>). Main
functions are test_rates(), which implements AIC and likelihood
ratio tests for discrete character rates introduced across Lloyd et al.
(2012) <doi:10.1111/j.1558-5646.2011.01460.x>, Brusatte et al. (2014)
<doi:10.1016/j.cub.2014.08.034>, Close et al. (2015)
<doi:10.1016/j.cub.2015.06.047>, and Lloyd (2016) <doi:10.1111/bij.12746>,
and MatrixDistances(), which implements multiple discrete character
distance metrics from Gower (1971) <doi:10.2307/2528823>, Wills (1998)
<doi:10.1006/bijl.1998.0255>, Lloyd (2016) <doi:10.1111/bij.12746>, and
Hopkins and St John (2018) <doi:10.1098/rspb.2018.1784>. This also includes
the GED correction from Lehmann et al. (2019) <doi:10.1111/pala.12430>.
Multiple functions implement morphospace plots:
plot_chronophylomorphospace() implements Sakamoto and Ruta (2012)
<doi:10.1371/journal.pone.0039752>, plot_morphospace() implements Wills et
al. (1994) <doi:10.1017/S009483730001263X>, plot_changes_on_tree()
implements Wang and Lloyd (2016) <doi:10.1098/rspb.2016.0214>, and
plot_morphospace_stack() implements Foote (1993)
<doi:10.1017/S0094837300015864>. Other functions include
safe_taxonomic_reduction(), which implements Wilkinson (1995)
<doi:10.1093/sysbio/44.4.501>, map_dollo_changes() implements
the Dollo stochastic character mapping of Tarver et al. (2018)
<doi:10.1093/gbe/evy096>, and estimate_ancestral_states() implements
the ancestral state options of Lloyd (2018) <doi:10.1111/pala.12380>.

clipr, geoscale, graphics, grDevices, methods, stats, utils

c(
person("Iago","Núñez Lugilde",role=c("aut","cre"), email="iago.nunez.lugilde@uvigo.es",comment="SIDOR. Departamento de Estatística e Investigación Operativa. Universidade de Vigo. Spain"),
person("Miguel Ángel","Mirás Calvo",role=c("aut"), comment="ECOBAS. Departamento de Matemáticas. Universidade de Vigo. Spain"),
person("Carmen","Quinteiro Sandomingo",role=c("aut"), comment="Departamento de Matemáticas. Universidade de Vigo. Spain"),
person("Estela","Sánchez Rodríguez",role=c("aut"),comment="CINBIO. Universidade de Vigo. Grupo SIDOR. Departamento de Estatística e Investigación Operativa. Universidade de Vigo. Spain")
)
The analysis of conflicting claims arises when an amount has to be divided among a set of agents with claims that exceed what is available. A rule is a way of selecting a  division among the claimants. This package computes the main rules introduced in the literature from the old times until nowadays. The inventory of rules covers the proportional and the adjusted proportional rules, the constrained equal awards and the constrained equal losses rules, the  constrained egalitarian, the Piniles’ and the minimal overlap rules, the random arrival and the Talmud rules. Besides, the Dominguez and Thomson and the average of awards rules are also included. All of them can be found in the book of W. Thomson (2019), 'How to divide when there isn't enough. From Aristotle, the Talmud, and Maimonides to the axiomatics of resource allocation'. Cambridge University Press, ISBN: 9781316646441, with the exception of the average of awards rule (Mirás et al. (2020) <http://ecobas.webs.uvigo.es/wk/2020-02-corecenterforthebankruptcyproblem.pdf>). In addition,  graphical diagrams allow the user to represent, among others, the set of awards, the paths of awards, and the schedules of awards of a rule, and some indexes. A good understanding of the similarities and the differences of the rules is useful for a better decision making. Therefore this package could be helpful to students, researchers and managers alike.
graphics, rgl, geometry, grDevices, stats
Iago Núñez Lugilde [aut, cre] (SIDOR. Departamento de Estatística e
Investigación Operativa. Universidade de Vigo. Spain),
Miguel Ángel Mirás Calvo [aut] (ECOBAS. Departamento de Matemáticas.
Universidade de Vigo. Spain),
Carmen Quinteiro Sandomingo [aut] (Departamento de Matemáticas.
Universidade de Vigo. Spain),
Estela Sánchez Rodríguez [aut] (CINBIO. Universidade de Vigo. Grupo
SIDOR. Departamento de Estatística e Investigación Operativa.
Universidade de Vigo. Spain)