traceplot.cdtafit | R Documentation |
Trace plot using ggplot2.
traceplot.cdtafit(x, ...)
x |
An cdtafit object from fit. |
... |
additional options. See stan_trace for more details. |
A ggplot object of the parameters of the models mean structure.
Victoria N Nyaga
Nyaga VN, Arbyn M, Aerts M (2017). CopulaDTA: An R Package for Copula-Based Beta-Binomial Models for Diagnostic Test Accuracy Studies in a Bayesian Framework. Journal of Statistical Software, 82(1), 1-27. doi:10.18637/jss.v082.c01
data(telomerase) model1 <- cdtamodel(copula = 'fgm') model2 <- cdtamodel(copula = 'fgm', modelargs=list(param=2, prior.lse='normal', par.lse1=0, par.lse2=5, prior.lsp='normal', par.lsp1=0, par.lsp2=5)) model3 <- cdtamodel(copula = 'fgm', modelargs = list(formula.se = StudyID ~ Test - 1)) ## Not run: fit1 <- fit(model1, SID='ID', data=telomerase, iter=2000, warmup=1000, thin=1, seed=3) traceplot(fit1) traceplot(fit1) + theme(axis.text.x = element_text(size=10, colour='black'), axis.text.y = element_text(size=10, colour='black'), axis.title.x = element_text(size=10, colour='black'), strip.text = element_text(size = 10, colour='black'), axis.title.y= element_text(size=10, angle=0, colour='black'), strip.text.y = element_text(size = 10, colour='black'), strip.text.x = element_text(size = 10, colour='black'), plot.background = element_rect(fill = "white", colour='white'), panel.grid.major = element_blank(), panel.background = element_blank(), strip.background = element_blank(), axis.line.x = element_line(color = 'black'), axis.line.y = element_line(color = 'black')) ## End(Not run)
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