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.
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permutationrestricted-permutations
13.51 score 24 stars 553 dependents 696 scripts 117k 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.
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distributional-regressiongamgammgeneralized-additive-mixed-modelsgeneralized-additive-modelsggplot2glmlmmgcvpenalized-splinerandom-effectssmoothingsplines
13.31 score 233 stars 5 dependents 2.1k scripts 6.5k 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.
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8.42 score 14 stars 4 dependents 203 scripts 1.0k downloadsggvegan - 'ggplot2' Plots for the 'vegan' Package
Functions to produce 'ggplot2'-based plots of objects produced by functions in the 'vegan' package. Provides fortify(), autoplot(), and tidy() methods for many of 'vegan''s functions. The aim of 'ggvegan' is to make it easier to work within the 'tidyverse' with 'vegan'.
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7.72 score 123 stars 306 scripts 967 downloadscoenocliner - Coenocline Simulation
Simulate species occurrence and abundances (counts) along gradients.
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6.81 score 12 stars 1 dependents 15 scripts 253 downloadscocorresp - 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.
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5.31 score 4 stars 34 scripts 984 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.
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1.70 score 1 stars 1 scripts 20 downloads