R/ecole.R

In phytomosaic/ecole: ecole: School of Ecology Package

#' @description School of ecology package for teaching ecological
#'     tasks, algorithms and model fitting.
#'
#' @details This package contains functions and utilities for analyses
#'     in ecology and biogeography, including:
#'
#'     Basic functions for forestry and vegetation analysis:\cr
#'     \code{\link{basal_area}}, \code{\link{foldasp}}, \code{\link{htld}},
#'     \code{\link{pdir}}
#'
#'     Outlier analysis:\cr
#'     \code{\link{outlier_multi}}, \code{\link{outlier_uni}}
#'
#'     Plots:\cr
#'     \code{\link{plot_heatmap}}, \code{\link{plot_loess}},
#'     \code{\link{plot_lm}}, \code{utils_*}
#'
#'     Plot utilities:\cr
#'      \code{\link{set_par}}, \code{\link{colvec}} and allies
#'
#'     Text utilities:\cr
#'      \code{\link{clean_text}}
#'
#'     Matrix manipulation and summaries:\cr
#'     \code{\link{mx_collapse}}, \code{\link{mx_diversity}},
#'     \code{\link{mx_profile}}, \code{\link{mx_describe}},
#'     \code{\link{mx_dropzero}}, \code{\link{mx_rbind_all}},
#'     \code{\link{mx_valid}}, \code{\link{reshape_w}}
#'
#'     Data transformations:\cr
#'     \code{\link{asin_sqrt}}, \code{\link{genlogtrans}},
#'     \code{\link{pseudo_log}}, \code{\link{standardize}}
#'
#'     Basic statistics:\cr
#'     \code{\link{cv}}, \code{\link{sem}}, \code{\link{rmse}} and allies
#'
#'     Ordination methods (reluctantly):\cr
#'     \code{\link{ord_bc}}, \code{\link{ord_nms}}, \code{\link{ord_pca}}
#'
#'     Pairwise multiple comparisons for PERMANOVA:\cr
#'     \code{\link{permanova_pairwise}}
#'
#'     Blocked indicator species analysis:\cr
#'     \code{\link{indval}}
#'
#'     Niche overlap:\cr
#'     \code{\link{overlap}}
#'
#'     Datasets:\cr
#'     \code{\link{smoky}}, \code{\link{braun}}, \code{\link{veg}},
#'     \code{\link{foods}}, \code{\link{bison}}, \code{\link{oakwoods}}
#'
#'     ...and many others.
#'
#' @docType package
#' @name ecole-package
#' @title School of Ecology Package for Teaching Ecological Tasks,
#'     Algorithms and Model Fitting.
#' @keywords package
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