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friendly
candisc:Visualizing Generalized Canonical Discriminant and Canonical Correlation Analysis
Functions for computing and visualizing generalized canonical discriminant analyses and canonical correlation analysis for a multivariate linear model. Traditional canonical discriminant analysis is restricted to a one-way 'MANOVA' design and is equivalent to canonical correlation analysis between a set of quantitative response variables and a set of dummy variables coded from the factor variable. The 'candisc' package generalizes this to higher-way 'MANOVA' designs for all factors in a multivariate linear model, computing canonical scores and vectors for each term. The graphic functions provide low-rank (1D, 2D, 3D) visualizations of terms in an 'mlm' via the 'plot.candisc' and 'heplot.candisc' methods. Related plots are now provided for canonical correlation analysis when all predictors are quantitative.
Maintained by Michael Friendly. Last updated 1 days ago.
dimension-reductionmultivariate-linear-modelsvisualization
15 stars 8.99 score 221 scripts 3 dependents
termehs
netropy:Statistical Entropy Analysis of Network Data
Statistical entropy analysis of network data as introduced by Frank and Shafie (2016) <doi:10.1177/0759106315615511>, and a in textbook which is in progress.
Maintained by Termeh Shafie. Last updated 5 months ago.
12 stars 6.26 score 9 scripts
pnovack-gottshall
ecospace:Simulating Community Assembly and Ecological Diversification Using Ecospace Frameworks
Implements stochastic simulations of community assembly (ecological diversification) using customizable ecospace frameworks (functional trait spaces). Provides a wrapper to calculate common ecological disparity and functional ecology statistical dynamics as a function of species richness. Functions are written so they will work in a parallel-computing environment.
Maintained by Phil Novack-Gottshall. Last updated 5 years ago.
5 stars 4.51 score 13 scripts
anespinosa
netmem:Social Network Measures using Matrices
Measures to describe and manipulate networks using matrices.
Maintained by Alejandro Espinosa-Rada. Last updated 18 days ago.
matricesmultilayer-networksnetwork-analysisnetwork-sciencesnasocial-networksocial-network-analysissociology
11 stars 4.33 score 13 scripts
carlosp-carmona
TPD:Methods for Measuring Functional Diversity Based on Trait Probability Density
Tools to calculate trait probability density functions (TPD) at any scale (e.g. populations, species, communities). TPD functions are used to compute several indices of functional diversity, as well as its partition across scales. These indices constitute a unified framework that incorporates the underlying probabilistic nature of trait distributions into uni- or multidimensional functional trait-based studies. See Carmona et al. (2016) <doi:10.1016/j.tree.2016.02.003> for further information.
Maintained by Carlos P. Carmona. Last updated 6 years ago.
2 stars 3.42 score 33 scripts
reviewburner
AnimalSequences:Analyse Animal Sequential Behaviour and Communication
All animal behaviour occurs sequentially. The package has a number of functions to format sequence data from different sources, to analyse sequential behaviour and communication in animals. It also has functions to plot the data and to calculate the entropy of sequences.
Maintained by Alex Mielke. Last updated 6 months ago.
1.00 score