Title: Interactive Document for Working with Basic Statistical Analysis
Description: An interactive document on  the topic of basic statistical analysis using 'rmarkdown' and 'shiny' packages. Runtime examples are provided in the package function as well as at  <https://jarvisatharva.shinyapps.io/StatisticsPrimer/>.
Packaged: 2019-04-01 15:30:54 UTC; KARTIKEYA

Packaged: 2020-07-28 12:52:36 UTC; kartikeya.bolar

Imports: stats, graphics, grDevices, Matrix, methods, VCA (>= 1.3.1),
Description: Provides an implementation of simultaneous tolerance bounds (STB), useful for checking whether a numeric vector fits to a hypothetical null-distribution or not.
Furthermore, there are functions for computing STB (bands, intervals) for random variates of linear mixed models fitted with package 'VCA'. All kinds of, possibly transformed
(studentized, standardized, Pearson-type transformed) random variates (residuals, random effects), can be assessed employing STB-methodology.

Title: ABC-SMC inference of the STEPCAM model
Author: Thijs Janzen & Fons van der Plas
Description: This package is an implementation of the process of stepwise community assembly through the inverse process of stepwise species deletion with Stepwise Community Assembly Models (STEPCAM)

Imports: gtools, MASS, vcd, FD, ade4, grid, geometry, ape
Description: STEPwise Community Assembly Model collection, applying ABC-SMC in order to infer different community assembly processes. Also includes several plotting functions in order to visualize found estimates.

Authors@R: c(person("Thijs","Janzen", email = "thijsjanzen@gmail.com",role=c("aut","cre")), person("Fons","van der Plas",email="",role=c("aut")),person("Thorsten","Hauffe",email="",role=c("ctb")))
Imports: gtools, FD, stats, MASS, vcd, ade4, grid, geometry, ape
Description: Collection of model estimation, and model plotting functions
related to the STEPCAM family of community assembly models.
STEPCAM is a STEPwise Community Assembly Model that infers
the relative contribution of Dispersal Assembly, Habitat Filtering
and Limiting Similarity from a dataset consisting of the
combination of trait and abundance data. See also <http://onlinelibrary.wiley.com/wol1/doi/10.1890/14-0454.1/abstract> for more information.