Linear Model Evaluation with Randomized Residuals in a Permutation Procedure
Plot Function for RRPP
Obtain P-value from a vector of values
Print/Summary Function for RRPP
Print/Summary Function for RRPP
Print/Summary Function for RRPP
Quantify and compare shape change trajectories
Support function for RRPP
Utility Function for RRPP
Utility Function for RRPP
Utility Function for RRPP
Intraclass correlation statistics from an lm.rrpp model fits
Plot Function for RRPP
Plot tool to add phylogenetic trees to ordination plots
ANOVA for lm.rrpp model fits
ANOVA for lm.rrpp model fits used in measurement.error
Deprecated functions in RRPP
coef for lm.rrpp model fits
Handle missing values in rrpp.data.frame objects
Ordination tool for data aligned to another matrix
Pairwise comparisons of lm.rrpp fits
Convert RRPP plots to ggplot objects
Obtain Effect-size from a vector of values
Extract fitted values
Plot Function for RRPP
Utility Function for RRPP
Utility Function for RRPP
Utility Function for RRPP
Print/Summary Function for RRPP
Reveal the inter-subject variability from a measurement error analysis
Linear Model Evaluation with a Randomized Residual Permutation Procedu...
Linear Model Evaluation with RRPP performed within subjects
Calculate the log-likelihood of a lm.rrpp fit
Diagnostic cross-validation tool for ordination based on fitted values
Likelihood ratio test for a linear model, based on RRPP
MANOVA update for lm.rrpp model fits
Evaluation of measurement error for two or more multivariate measureme...
Model Comparisons, in terms of the log-likelihood, covariance trace, o...
Extract model frame from a lm.rrpp object
Extract the model design matrix from an lm.rrpp object
Print/Summary Function for RRPP
Plot Function for RRPP
Plot Function for RRPP
Plot Function for RRPP
Plot Function for RRPP
Plot Function for RRPP
Plot Function for RRPP
Plot Function for RRPP
predict for lm.rrpp model fits
Linear discriminant function for lm.rrpp model fits
Print/Summary Function for RRPP
Print/Summary Function for RRPP
Print/Summary Function for RRPP
Print/Summary Function for RRPP
Print/Summary Function for RRPP
Print/Summary Function for RRPP
Print/Summary Function for RRPP
Print/Summary Function for RRPP
Print/Summary Function for RRPP
Print/Summary Function for RRPP
Print/Summary Function for RRPP
Print/Summary Function for RRPP
QR decomposition of linear model design matrices
Extract residuals
Reveal model designs used in lm.rrpp fit
RRPP: Linear Model Evaluation with Randomized Residuals in a Permutati...
Create a data frame for lm.rrpp analysis
Scaling of a Covariance Matrix
Print/Summary Function for RRPP
Print/Summary Function for RRPP
Print/Summary Function for RRPP
Print/Summary Function for RRPP
Print/Summary Function for RRPP
Print/Summary Function for RRPP
Print/Summary Function for RRPP
Print/Summary Function for RRPP
Print/Summary Function for RRPP
Print/Summary Function for RRPP
Print/Summary Function for RRPP
Print/Summary Function for RRPP
Print/Summary Function for RRPP
Extract the terms from an lm.rrpp object
Linear model calculations are made for many random versions of data. Using residual randomization in a permutation procedure, sums of squares are calculated over many permutations to generate empirical probability distributions for evaluating model effects. This packaged is described by Collyer & Adams (2018). Additionally, coefficients, statistics, fitted values, and residuals generated over many permutations can be used for various procedures including pairwise tests, prediction, classification, and model comparison. This package should provide most tools one could need for the analysis of high-dimensional data, especially in ecology and evolutionary biology, but certainly other fields, as well.