Description Usage Arguments Value Author(s)
Plots the results of a GLM analysis from BEAST
1 2 3 |
Names |
a character vector with the predictor names (labels) |
Log |
a dataframe with traces without burnin |
prob_zero |
a scalar specifying the probability that no predictors are included (default: 0.5) |
cutoffs |
a numeric vector with the Bayes factor cutoffs to be used (dotted lines in the plot, default: 3 and 50) |
intercept |
a boolean specifying whether the model has an intercept (default: FALSE) |
alpha |
a scalar with the credibility level to be used for credibility intervals (default:0.95) |
conditional |
a boolean specifying whether the coeffcients should be plotted conditionally |
title |
a character with the title in the plot (default: none) |
burnin |
a scalar specifying the *proportion* of the samples to discard as burn-in/warm-up |
export |
a boolean (default: TRUE) |
file_name |
a character specifying the name of the output PDF file. Ignored if export = FALSE. |
a (ggplot) plot object showing inclusion probabilities, Bayes factors and coefficient estimates
Luiz Max Carvalho/Philippe Lemey/Nuno Faria
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