Title: Simulate Temporally Autocorrelated Populations
This package provides tools for simulating populations with white noise (no temporal autocorrelation), red noise (positive temporal autocorrelation), and blue noise (negative temporal autocorrelation).  The algebraic formulation for autocorrelated noise comes from Ruokolainen et al. (2009) <doi:10.1016/j.tree.2009.04.009>. Models for unstructured populations and for structured populations (matrix models) are available.

person("Julia", "Pilowsky", email = "jap2178@caa.columbia.edu",
Author: Julia Pilowsky [aut, cre] (<https://orcid.org/0000-0002-6376-2585>)

Packaged: 2020-08-05 06:40:34 UTC; Julia Pilowsky

Title: Extract Colors from Windows BMP, JPEG, PNG, TIFF, and SVG Format
Description: Extracts colors from various image types, returns customized reports and plots treemaps
of image compositions. Selected colors and color ranges can be excluded from the analysis.
Imports: purrr, stringr, pixmap, tibble, treemap, rsvg, png, jpeg,
Packaged: 2018-09-20 00:17:22 UTC; David Zumbach

and 3D scatterplots of image compositions. Selected colors and color ranges can be excluded from
tiff, bmp, dplyr, plotly, magrittr, plotwidgets
Packaged: 2018-10-07 20:02:23 UTC; David Zumbach

and 3D scatterplots of image compositions. Color palettes can also be created.

Title: Plot and add custom coloring to Venn diagram for 3-dimensional
Description: Given 3-dimensional data, it computes a vector of length 7
describing all but one variations of grouping all 3 dimension.
It then plots up Venn diagram, i.e. 'crossing circles'. The
user is able to specify values, labels for each circle-group
and colors. Here is what it would look like:
Packaged: 2013-02-05 19:17:15 UTC; elliotnoma

Title: Plot and add custom coloring to Venn diagrams for 2-dimensional,
Description: Given 2-,3- or 4-dimensional data, plots a Venn diagram,
i.e. 'crossing circles'. The user can specify values, labels
for each circle-group and unique colors for each plotted part.
Here is what it would look like for a 3-dimensional plot:
Packaged: 2013-03-14 13:20:35 UTC; elliotnoma