| forestplot.cdtafit {CopulaDTA} | R Documentation |
Produce forest plots for categorical covariates.
forestplot.cdtafit(
x,
title.1 = NULL,
title.2 = NULL,
title.3 = NULL,
graph = NULL,
width = 0.2,
shape.1 = 19,
size.1 = 2.5,
shape.2 = 8,
size.2 = 2.5,
shape.O = 9,
size.O = 3.5,
cols.1 = NULL,
cols.2 = NULL,
digits = 3,
...
)
x |
A cdtafit object from fit. |
title.1 |
An optional string indicating the title of graph 1. |
title.2 |
An optional string indicating the title of graph 2. |
title.3 |
An optional string indicating the title of graph 3. |
graph |
An optional numeric value indicating which forest to plot(s) to graph. Valid values are:0 - for no graph, 1 - yielding a forest plot of the sensitivity and specificity with a 95 percent exact confidence intervals, 2 - yielding a forest plot of the posterior study-specific sensitivity and specificity and the marginal mean sensitivity and specificity and their corresponding 95 percent credible intervals, 3 - yielding a combination of 1 and 2 in one plot, and NULL(default) - yielding plots of 1, 2 and 3. |
width |
An optional numeric value to adjust the dogding position. The default is 0.2. |
shape.1 |
An optional numeric value(0-255) indicating the symbol to plot in graph 1. The default is 19 which is a solid circle. See points for more details. |
size.1 |
An optional positive numeric value indicating the size of symbols in graph 1. The default is 2.5. |
shape.2 |
An optional numeric value(0-255) indicating the symbol to plot in graph 2. The default is 8 which is a star. See points for more details. |
size.2 |
An optional positive numeric value indicating the size of symbols in graph 2. The default is 2.5. |
shape.O |
An optional numeric value(0-255) indicating the symbol representing the posterior marginal mean in graph 2. The default is 19 which is a solid circle. See points for more details. |
size.O |
An optional numeric value indicating the size of symbols representing the posterior marginal means in graph 2. |
cols.1 |
An optional string vector specifying colours of shapes in graph 1. |
cols.2 |
An optional string vector specifying colours of shapes in graph 2. |
digits |
An optional positive value to control the number of digits to print when printing numeric values. The default is 3. |
... |
other stan options. |
forest plots by ggplot2.
Victoria N Nyaga <victoria.nyaga@outlook.com>
Watanabe S (2010). Asymptotic Equivalence of Bayes Cross Validation and Widely Applicable Information Criterion in Singular Learning Theory. Journal of Machine Learning Research, 11, 3571-3594.
Vehtari A, Gelman A (2014). WAIC and Cross-validation in Stan. Unpublished, pp. 1-14.
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)
plot(fit1)
## End(Not run)