monetPlot: Create monetPlots for your rmm results.

In benrosche/rmm: Bayesian multiple membership multilevel models with parameterizable weights using 'JAGS'.

Create monetPlots for your rmm results.

Description

The function monetPlot creates a density plot of the posterior distribution of your model parameters and the traceplot that led to this density.

Usage

monetPlot(rmm, parameter, centrality = "median", lab = F, r = 3, sav = F)

Arguments

rmm	A rmm object. rmm has to be run with monitor=T
parameter	A string with the parameter name. The internal name has to be used, which are the rownames in the rmm reg.table output.
centrality	A string specifying one of the following options: "median", "mean", "MAP", or "mode".
lab	String to describe the parameter on the graph's x-axis. Optional. If not specified, the internal parameter name is used.
r	Specify number of decimal places. Default equals 3.
sav	TRUE or FALSE (default). If TRUE, the graph is saved to the current working directory as .png

Value

Returns a plot. The solid vertical is at 0 and the dashed vertical line is the mode of the posterior distributions.

Author(s)

Benjamin Rosche <[e-mail]>

Examples

data(coalgov)
m1 <- rmm(Surv(govdur, earlyterm) ~ 1 + mm(id(pid, gid), mmc(fdep), mmw(w ~ 1/n, constraint=1)) + majority + hm(id=cid, name=cname, type=RE, showFE=F),
          family="Weibull", monitor=T, data=coalgov)
monetPlot(m1, parameter="b.l1")

benrosche/rmm documentation built on April 12, 2025, 9:49 a.m.