Marek Šlenker [aut, cre] (https://orcid.org/0000-0002-5919-890X)
Petr Koutecký [ctb] (https://orcid.org/0000-0002-3455-850X)
Karol Marhold [ctb] (https://orcid.org/0000-0002-7658-0844)

ade4, candisc, car, class, ellipse, heplots, MASS, methods,
plot3D, StatMatch, utils, vegan, stats

Computation and Visualization of Adaptive Landscapes
c(
person("Blake", "Dickson", email = "blake.dickson@duke.edu",
role = c("aut", "cre"),
comment = c(ORCID="0000-0001-6299-5224")),
person("Stephanie", "Pierce", email = "spierce@oeb.harvard.edu",
role = c("aut"),
comment = c(ORCID="0000-0003-0717-1841")),
person("Noah", "Greifer", email = "ngreifer@iq.harvard.edu",
role = c("aut"),
comment = c(ORCID="0000-0003-3067-7154"))
)
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.

Simple raw data generator based on user-supplied summary
statistics (n, mean, & standard deviation)
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
that will replicate a published study.

Simple raw data generator based on user-specified summary
statistics
MorseGen is a program for generating raw data based on
user-specified summary (descriptive) statistics. Samples based
on the supplied statistics are drawn from a normal distribution
(or, in some cases, an exponential distribution) and scaled to
match the desired descriptive statistics. Intended uses include
creating raw data that fits desired characteristics or to
replicate the results in a published study.

Simple raw data generator based on user-specified summary
statistics.