traceplot.cdtafit {CopulaDTA} | 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)