cauphy (version 1.0.3)

increment: Posterior density of an increment

Description

Compute the posterior density of a branch increment under a fitted Cauchy process on a phylogenetic tree.

Usage

increment(x, ...)
# S3 method for cauphylm
increment(x, node, values, n_values = 100, n_cores = 1, ...)
# S3 method for cauphyfit
increment(x, node, values, n_values = 100, n_cores = 1, ...)

Value

an object of S3 class ancestralCauchy, which is a matrix of posterior increment values, with nodes in rows and values in columns.

Arguments

x

an object of class fitCauchy or cauphylm.

...

other arguments to be passed to the method.

node

vector of nodes ending the branches for which to compute the posterior density of the increment. If not specified, the reconstruction is done on all the possible edges.

values

the vector of values where the density should be computed. If not specified, the reconstruction is done for a grid of n_values values between -1.5 * maxdiff and 1.5 * maxdiff, where maxdiff is the difference between the larger and smaller tip value.

n_values

the number of point for the grid of values. Default to 100. Ignored if values is provided.

n_cores

number of cores for the parallelization. Default to 1.

Methods (by class)

• increment(cauphylm): cauphylm object

• increment(cauphyfit): fitCauchy object

Details

This function assumes a Cauchy Process on the tree with fitted parameters (see fitCauchy), and computes the posterior ancestral density of trait increments at branches (ie, the difference between the traits value at the end and beginning of the branch), conditionally on the vector of tip values.

It computes the posterior density on all the points in values, that should be refined enough to get a good idea of the density curve.

References

Bastide, P. and Didier, G. 2023. The Cauchy Process on Phylogenies: a Tractable Model for Pulsed Evolution. Systematic Biology. doi:10.1093/sysbio/syad053.

See Also

fitCauchy, cauphylm, plot.ancestralCauchy, plot_asr, ancestral, hdi.ancestralCauchy

Examples

set.seed(1289)
# Simulate tree and data
phy <- ape::rphylo(10, 0.1, 0)
dat <- rTraitCauchy(n = 1, phy = phy, model = "cauchy",
                    parameters = list(root.value = 10, disp = 0.1))
# Fit the data
fit <- fitCauchy(phy, dat, model = "cauchy", method = "reml")
# Reconstruct the ancestral increments
inc <- increment(fit)
plot_asr(fit, inc = inc, offset = 3)
plot(inc, node = c(3, 8), type = "l")
# Refine grid for edges ending at tips 3 and 8
inc2 <- increment(fit, node = c(3, 8), values = seq(-3, 3, 0.01))
plot(inc2, type = "l")
# Find HDI
library(HDInterval)
hdi_inc <- hdi(inc2)
hdi_inc
plot(inc2, interval = hdi_inc, type = "l")