plot.pibblefit: Plot Summaries of Posterior Distribution of pibblefit...

In jsilve24/mongrel: Bayesian Multinomial Logistic Normal Regression

Description

Plot Summaries of Posterior Distribution of pibblefit Parameters

Usage

## S3 method for class 'pibblefit'
plot(x, ...)

Arguments

x	an object of class pibblefit
...	other arguments passed to plot.pibblefit (see details)

Details

Other arguments:

• 'par' parameter to plot (options: Lambda, Eta, and Sigma) (default="Lambda")

• 'focus.cov' vector of covariates to include in plot (plots all if NULL)

• 'focus.coord' vector of coordinates to include in plot (plots all if NULL)

• 'focus.sample' vector of samples to include in plot (plots all if NULL)

• 'use_names' if TRUE, uses dimension names found in data as plot labels rather than using dimension integer indices.

Value

ggplot object

Examples

sim <- pibble_sim(N=10, D=4, Q=3)
fit <- pibble(sim$Y, sim$X)
plot(fit, par="Lambda")
plot(fit, par="Sigma")

jsilve24/mongrel documentation built on Jan. 27, 2022, 9:54 p.m.