colorRamps, Rcpp, graphics, grDevices, methods, stats, utils

Rcpp, graphics, grDevices, methods, stats, utils

Rcpp, graphics, grDevices, methods, stats, utils, jsonlite,

Author: Marek Slenker [aut, cre] (https://orcid.org/0000-0002-5919-890X)
Description: Tools for multivariate analyses of morphological data, wrapped in one package, to make the workflow convenient and fast. Statistical and graphical tools provide a comprehensive framework for checking and manipulating input data, statistical analyses, and visualization of results. Several methods are provided for the analysis of raw data, to make the dataset ready for downstream analyses. Integrated statistical methods include hierarchical classification, principal component analysis, principal coordinates analysis, non-metric multidimensional scaling, and multiple discriminant analyses: canonical, stepwise, and classificatory (linear, quadratic, and the non-parametric k nearest neighbours). The philosophy of the package will be described in Šlenker et al. (in prep).
Imports: ade4, candisc, car, class, ellipse, fpc, heplots, MASS,
methods, plot3D, StatMatch, utils, vegan, stats

Author: Marek Šlenker [aut, cre] (https://orcid.org/0000-0002-5919-890X)

Imports: ade4, candisc, car, class, ellipse, heplots, MASS, methods,

Title: Computation and Visualization of Adaptive Landscapes
person("Blake", "Dickson", email = "blake.dickson@duke.edu",
person("Stephanie", "Pierce", email = "spierce@oeb.harvard.edu",
person("Noah", "Greifer", email = "ngreifer@iq.harvard.edu",
Description: Implements adaptive landscape methods first described by Polly et al. (2016) <doi:10.1080/02724634.2016.1111225> for the integration, analysis and visualization of biological trait data on a phenotypic morphospace - typically defined by shape metrics.
Imports: concaveman, ggplot2, sp, automap
Packaged: 2022-06-15 18:15:00 UTC; Blake Dickson
Author: Blake Dickson [aut, cre] (<https://orcid.org/0000-0001-6299-5224>),

Title: Simple raw data generator based on user-supplied summary
statistics (n, mean, & standard deviation)
Description: MorseGen is a program for generating raw data scores based
on user-supplied summary statistics (n, mean, & standard
deviation). Samples based on the supplied statistics are drawn
from a normal distribution until a sample of raw scores (with
size = n) is found that recreates the specified mean and
standard deviation (within a tolerance of .01). Intended uses
include recreating a set of raw data for students to analyze
Packaged: 2012-02-21 13:34:47 UTC; brendanmorse