Utility functions, datasets and extended examples for survival analysis. This extends a range of other packages, some simple wrappers for time-to-event analyses, datasets, and extensive examples in HTML with R scripts. The package also supports the course Biostatistics III entitled "Survival analysis for epidemiologists in R".

c(
person("Claudia", "Nuñez-Penichet", email = "claununez199o@gmail.com",
role = c("aut","cre"), comment = c(ORCID = "0000-0001-7442-8593")),
person("Marlon E.", "Cobos", email = "manubio13@gmail.com", role = "aut",
comment = c(ORCID = "0000-0002-2611-1767")),
person("Jorge", "Soberón", email = "jsoberon@ku.edu", role = "aut",
comment = c(ORCID = "0000-0003-2160-4148")),
person("Tomer", "Gueta", email = "tomer.gu@gmail.com", role = "aut",
comment = c(ORCID = "0000-0003-1557-8596")),
person("Narayani", "Barve", email = "narayani.ku@gmail.com", role = "aut",
comment = c(ORCID = "0000-0002-7893-8774")),
person("Vijay", "Barve", email = "vijay.barve@gmail.com", role = "aut",
comment = c(ORCID = "0000-0002-4852-2567")),
person("Adolfo G.", "Navarro-Sigüenza", email = "adolfon@ciencias.unam.mx",
role = "aut", comment = c(ORCID = "0000-0003-2652-7719")),
person("A. Townsend", "Peterson", email = "town@ku.edu", role = "aut",
comment = c(ORCID = "0000-0003-0243-2379")))
A collection of tools that allows users to plan systems of sampling
sites, increasing the efficiency of biodiversity monitoring by considering
the relationship between environmental and geographic conditions in a
region. The options for selecting sampling sites included here differ from
other implementations in that they consider the environmental and geographic
conditions of a region to suggest sampling sites that could increase the
efficiency of efforts dedicated to monitoring biodiversity. The methods
proposed here are new in the sense that they combine various criteria and
points previously made in related literature; some of the theoretical and
methodological bases considered are described in:
Arita et al. (2011) <doi:10.1111/j.1466-8238.2011.00662.x>,
Soberón and Cavner (2015) <doi:10.17161/bi.v10i0.4801>, and Soberón et al.
(2021).
diptest (>= 0.75), doParallel (>= 1.0), foreach (>= 1.5),
graphics, grDevices, ks (>= 1.11), maps (>= 3.3), methods,
parallel, picante (>= 1.8), raster (>= 3.0), rgdal (>= 1.4),
rgeos (>= 0.5), sp (>= 1.3), spatstat.geom (>= 1.65), stats,
utils, vegan (>= 2.5)