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EvoRAG (version 2.0)

Evolutionary Rates Across Gradients

Description

Uses maximum likelihood to estimate rates of trait evolution across environmental gradients.

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Version

Install

install.packages('EvoRAG')

Monthly Downloads

14

Version

2.0

License

GPL (>= 2)

Maintainer

Jason Weir

Last Published

July 8th, 2014

Functions in EvoRAG (2.0)

TypeI.error

performs a simulation based analysis of type I error
bootstrap.test

Estimate confidence intervals using bootstrap
Profile.like.CI

Estimate confidence intervals using profile likelihood
MScorrection

Correct for finite sample size in Euclidean distances given known variances in each sample
expectation.time

calculate the expected (i.e. mean) Euclidean distances through time given a rate of evolution, Beta.
EvoRAG-data

example data sets of avian sister pairs with trait data and a gradient
power.test

performs a simulation based analysis of statistical power
sisterContinuous

likelihood functions for continuous trait evolutionary models
EvoRAG-internal

internal EvoRAG functions
model.test.sisters

Fit evolutionary models for continuous trait data
sim.sisters

simulate Euclidean distances for sister pair data under 10 evolutionary models
EvoRAG-package

Evolutionary Rates Across Gradients
starting.values

returns the null starting values used in model.test.sisters
plotGradient.ci

Plot evolutionary rates and their confidence regions across a gradient
expectation.gradient

calculate the expected (i.e. mean) Euclidean distances for a gradient model
parameter.reestimation

uses simulation to determine robustness of parameter estimates under a model