Important changes to this project will be documented in this file.
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DESCRIPTION
file:Morpho
and Rdpack
from Import
.Morpho.R
script:Morpho
installed when running function
proc2MCMCtree
, stop if not -> error and warning solved..checkData
and .checkArr
functions so that checks with class()
do not raise warnings -> warning solved.calibrations.R
file:pv <- pL(qv, tL=1))
to pv <- pL(qv, tL=1))
) -> error solved.dBD.R
script:x
as @param
-> warning solved.mcmc2densitree
:cex.labels
to cex.lab
(line 18, @param
section) as the latter is
used in the function -> warning solved.DESCRIPTION
file:RoxygenNote
to 7.3.1.(>= 3.5.0)
.Morpho.R
script:\dontrun{}
for examples in proc2MCMCtree
that require package
Morpho
in case users do not have this package installed.mcmc2anc.R
script:\dontrun{}
for examples section to avoid warnings when using rgl
.Reproduce_Carnivora_analysis.Rmd
:eval=FALSE
in all code snippets. Package Morpho
is not imported and
running these examples raises errors.{r}
.mcm3r::
before calling a function within this package in the code
snippets.=
with <-
as it is encouraged in R.carnivores.R
script:mcmc.sum
to calculate summary statistics on MCMCtree's output.pL
and qL
to calculate the probability and quantile functions
for the minim bound (truncated-Cauchy) calibrations.mcmc2anc
for ancestral character reconstruction from an MCMC sample.misc/ape4s
, and moved all ape4s files into it.Reproduce_Carnivora_analysis.Rmd
, to
streamline the text and add an example of ancestral reconstruction.mcmc2densitree
to plot densitrees using the MCMC output from either
MCMCtree or BPP.microcebus
and hominid
BPP A00 MCMC datasets.misc/carnivora
, suitable for reproducing MCMC sampling
of divergence times using molecular and morphometric data with MCMCtree.Reproduce_Carnivora_analysis.Rmd
, to
simplify the text and to add MCMC sampling using MCMCtree. Added files
figtree.jpg
and densitree.jpg
to illustrate the vignette.inherits
is used to test matrix classes instead of class
.dBD
example (missing comment character). gauss.quad
so it now accepts a se
argument (as for
stepping.stones
). This solves a bug when running gauss.quad.boot
.gauss.quad.boot
to calculate marginal likelihood on bootstrap
replicates using the Gaussian quadrature method. Documentation for
gauss.quad.boot
and stepping.stones.boot
are merged.dBL
to calculate the kernel density for the birth-death process
with species sampling.dL
, dB
and dU
to calcute the fossil calibration densites used
in MCMCtree (useful for plotting the densities).block.boot
that caused generation of empty likelihood block
samples.block.boot
and stepping.stones.boot
to perform block (stationary)
bootstrap resampling to estimate the standard error for the log-marginal
likelihood under the stepping stones method. Suitable for short MCMC runs for
which the delta approximation to estimate the standard error may not work well.stepping.stones
and gauss.quad
so that they work correctly
with incomplete mcmctree MCMC output files.bayes.factors
so that bootstrap CI's are printed with models as
rows and 95% CI as columns.A collection of functions for working with continuous morphological data. These are the functions used in Álvarez-Carretero et al. (2018, bioRxiv, 441105).
bayes.factors
so that it now calculates bootstrap CIs for posterior
probabilities. Prior probabilities can now be used.Tags: Added, Changed, Deprecated, Removed, Fixed, Security
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