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📦 Phylogenetic Monte Carlo: Quantifying Uncertainty in Phylogenetic Methods (now on CRAN)
cboettig/pmc
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This is a lightweight implementation of mypmc package focusing onwhat I think are the more common use cases (e.g. it will no longersupport comparisons of ageiger model against anouch model).Further, it does not cover many of the newer model fitting that havebeen implemented sincepmc was first released.
The goal of this release is mostly to provide compatibility with currentversions ofgeiger.
Install the package:
library("devtools")install_github("cboettig/pmc")
A trivial example with data simulated from thelambda model.
library("pmc")library("geiger")#> Loading required package: ape#> Loading required package: phytools#> Loading required package: mapslibrary("phytools")phy<- sim.bdtree(n=10)dat<- sim.char(rescale(phy,"lambda",.5),1)[,1,]out<- pmc(phy,dat,"BM","lambda",nboot=50)#> Warning in geiger::fitContinuous(phy = tree, dat = data, model = model, :#> Parameter estimates appear at bounds:#> lambda
Plot the results:
dists<-data.frame(null=out$null,test=out$test)library("ggplot2")library("tidyr")library("dplyr")#>#> Attaching package: 'dplyr'#> The following object is masked from 'package:ape':#>#> where#> The following objects are masked from 'package:stats':#>#> filter, lag#> The following objects are masked from 'package:base':#>#> intersect, setdiff, setequal, uniondists %>% gather(dist,value) %>% ggplot(aes(value,fill=dist))+ geom_density(alpha=0.5)+ geom_vline(xintercept=out$lr)
Carl Boettiger, Graham Coop, Peter Ralph (2012) Is your phylogenyinformative? Measuring the power of comparative methods, Evolution 66(7) 2240-51.https://doi.org/10.1111/j.1558-5646.2011.01574.x
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📦 Phylogenetic Monte Carlo: Quantifying Uncertainty in Phylogenetic Methods (now on CRAN)
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