Simulates a population under the Fisher-Wright model with a stepwise neutral mutation process. The population sizes are random Poisson distributed and different kinds of population growth are supported. It is possible to specify locus and direction (in terms of upwards and downwards mutation rate) specific mutation rate. Intermediate generations can be saved in order to study e.g. drift.

Simulates a population under the Fisher-Wright model with a one-step neutral mutation process (stepwise mutation model, logistic mutation model and exponential mutation model supported). The population sizes are random Poisson distributed and different kinds of population growth are supported. For the stepwise mutation model, it is possible to specify locus and direction specific mutation rate (in terms of upwards and downwards mutation rate). Intermediate generations can be saved in order to study e.g. drift.

Simulates a population under the Fisher-Wright model (fixed or stochastic population size) with a one-step neutral mutation process (stepwise mutation model, logistic mutation model and exponential mutation model supported). The stochastic population sizes are random Poisson distributed and different kinds of population growth are supported. For the stepwise mutation model, it is possible to specify locus and direction specific mutation rate (in terms of upwards and downwards mutation rate). Intermediate generations can be saved in order to study e.g. drift.

c(
person(given = "Mengmeng",
family = "Liu",
role = c("aut"),
email = "m.liu18@imperial.ac.uk",
comment = c(ORCID = "0000-0001-6250-0148")),
person(given = "Roberto",
family = "Villegas-Diaz",
role = c("aut", "cre"),
email = "r.villegas-diaz@reading.ac.uk",
comment = c(ORCID = "0000-0001-5036-8661")),
person("SPECIAL Research Group @ University of Reading", role = c("cph")))
The goal of this package is to provide an improved version of
WA-PLS (Weighted Averaging Partial Least Squares) by including the
tolerances of taxa and the frequency of the sampled climate variable.
This package also provides a way of leave-out cross-validation that
removes both the test site and sites that are both geographically
close and climatically close for each cycle, to avoid the risk of
pseudo-replication.
doParallel, foreach, geosphere, ggplot2, MASS, matrixStats,
parallel, tictoc
badger, hexSticker, knitr, kableExtra, pkgdown, rmarkdown,
scales, testthat
Mengmeng Liu [aut] (<https://orcid.org/0000-0001-6250-0148>),
Roberto Villegas-Diaz [aut, cre]
(<https://orcid.org/0000-0001-5036-8661>),
SPECIAL Research Group @ University of Reading [cph]