splancs, spam, spatstat, sampling, dismo, rpart, tree, e1071,
earth, randomForest, PresenceAbsence, lattice, gtools, ranger,
abind,
Species Distribution MOdeling with Pseudo-Absences
c(person("Maialen", "Iturbide", role = c("aut", "cre"), email = "miturbide@ifca.unican.es"),
person("Joaquin", "Bedia", role = "ctb"),
person("SantanderMetGroup", "http://meteo.unican.es", role = "ctb"))
Tools for transferable species distribution modeling and pseudo-absence
data generation allowing the straightforward design of relatively complex experiments
with multiple factors affecting the uncertainty (variability) of SDM outputs
(pseudo-absence sample, climate projection, modeling algorithm, etc.), and the
quantification of the contribution of different factors to the final variability
following the method described in Deque el al. (2010) <doi:10.1007/s00382-011-1053-x>.
Multiple methods for pseudo-absence data generation can be applied, including the novel
Three-step method as described in Iturbide et al. (2015) <doi:10.1016/j.ecolmodel.2015.05.018>.
Additionally, a function for niche overlap calculation is provided, considering the metrics
described in Warren et al. (2008) <10.1111/j.1558-5646.2008.00482.x> and in
Pianka (1973) <10.1146/annurev.es.04.110173.000413>.
Maialen Iturbide [aut, cre],
Joaquin Bedia [ctb],
SantanderMetGroup http://meteo.unican.es [ctb]

splancs, spam, spatstat, sampling, dismo, rpart, tree, e1071,
earth, randomForest, PresenceAbsence, lattice, graphics,
grDevices, gtools, ranger, abind,

Collection of Datasets Pertaining to Loop 1 "Mopac"
person("Scott", "McKenzie", email = "sccmckenzie@gmail.com",
role = c("aut", "cre"))
Provides real & simulated datasets containing time-series traffic observations
and additional information pertaining to Loop 1 "Mopac" located in Austin, Texas.

MOPSOCD: Multi-objective Particle Swarm Optimization with
Crowding Distance
A multi-objective optimization solver based on particle
swarm optimization with crowding distance.

Supports morphological analysis for Japanese by using 'MeCab'.
Can input data.frame and obtain all results of 'MeCab' and row number of
original data.frame as a text id.
dplyr, magrittr, purrr, rlang, stringr, tibble, tidyr
knitr, rmarkdown, stringi, testthat (>= 3.0.0), tidyverse