permute - Functions for Generating Restricted Permutations of Data
A set of restricted permutation designs for freely exchangeable, line transects (time series), and spatial grid designs plus permutation of blocks (groups of samples) is provided. 'permute' also allows split-plot designs, in which the whole-plots or split-plots or both can be freely-exchangeable or one of the restricted designs. The 'permute' package is modelled after the permutation schemes of 'Canoco 3.1' (and later) by Cajo ter Braak.
Last updated 8 months ago
permutationrestricted-permutations
13.28 score 23 stars 488 dependents 538 scripts 71k downloads
gratia - Graceful 'ggplot'-Based Graphics and Other Functions for GAMs Fitted Using 'mgcv'
Graceful 'ggplot'-based graphics and utility functions for working with generalized additive models (GAMs) fitted using the 'mgcv' package. Provides a reimplementation of the plot() method for GAMs that 'mgcv' provides, as well as 'tidyverse' compatible representations of estimated smooths.
Last updated 1 days ago
distributional-regressiongamgammgeneralized-additive-mixed-modelsgeneralized-additive-modelsggplot2glmlmmgcvpenalized-splinerandom-effectssmoothingsplines
12.96 score 216 stars 2 dependents 1.6k scripts 3.9k downloadsanalogue - Analogue and Weighted Averaging Methods for Palaeoecology
Fits Modern Analogue Technique and Weighted Averaging transfer function models for prediction of environmental data from species data, and related methods used in palaeoecology.
Last updated 6 months ago
8.87 score 14 stars 4 dependents 185 scripts 1.1k downloadscoenocliner - Coenocline Simulation
Simulate species occurrence and abundances (counts) along gradients.
Last updated 4 years ago
6.03 score 12 stars 1 dependents 15 scripts 253 downloadsggvegan - 'ggplot2' Plots for the 'vegan' Package
Functions to produce ggplot2-based plots of objects produced by functions in the vegan package.
Last updated 16 days ago
5.79 score 115 stars 271 scriptscocorresp - Co-Correspondence Analysis Methods
Fits predictive and symmetric co-correspondence analysis (CoCA) models to relate one data matrix to another data matrix. More specifically, CoCA maximises the weighted covariance between the weighted averaged species scores of one community and the weighted averaged species scores of another community. CoCA attempts to find patterns that are common to both communities.
Last updated 6 months ago
5.56 score 4 stars 28 scripts 1.1k downloadsanalogueExtra - Additional Functions for Use with the 'analogue' Package
Provides additional functionality for the analogue package that is not required by all users of the main package.
Last updated 6 years ago
1.70 score 1 stars 1 scripts 35 downloads