Conduct MCMC simulations using JAGS
RunMCMC(
jags.model,
params = NULL,
name.list,
data.list,
initial.list = list(),
run.contrasts = FALSE,
use.contrast = "between",
contrasts = NULL,
custom.contrast = NULL,
run.ppp = FALSE,
k.ppp = 10,
n.data,
credible.region = 0.95,
save.data = FALSE,
ROPE = NULL,
merge.MCMC = FALSE,
run.diag = FALSE,
param.diag = NULL,
sep = ",",
monochrome = TRUE,
plot.colors = c("#495054", "#e3e8ea"),
graphic.type = "pdf",
plot.size = "15,10",
scaling = 100,
plot.aspect = NULL,
vector.graphic = FALSE,
point.size = 12,
font.type = "serif",
one.file = TRUE,
ppi = 300,
units = "in",
layout = "a4",
layout.inverse = FALSE,
...
)specify which module to use
define parameters to observe, Default: NULL
list of names
list of data
initial values for analysis, Default: list()
logical, indicating whether or not to run contrasts, Default: FALSE
choose from "between", "within" and "mixed". Between compare groups at different conditions. Within compare a group at different conditions. Mixed compute all comparisons, Default: "between",
define contrasts to use for analysis (defaults to all) , Default: NULL
define contrasts for custom models , Default: NULL
logical, indicating whether or not to conduct ppp analysis, Default: FALSE
run ppp for every kth length of MCMC chains, Default: 10
sample size for each parameter
summarize uncertainty by defining a region of most credible values (e.g., 95 percent of the distribution), Default: 0.95
logical, indicating whether or not to save data, Default: FALSE
define range for region of practical equivalence (e.g., c(-0.05 , 0.05), Default: NULL
logical, indicating whether or not to merge MCMC chains, Default: FALSE
logical, indicating whether or not to run diagnostics, Default: FALSE
define parameters to use for diagnostics, default equals all parameters, Default: NULL
symbol to separate data (e.g., comma-delimited), Default: ','
logical, indicating whether or not to use monochrome colors, else use DistinctColors, Default: TRUE
range of color to use, Default: c("#495054", "#e3e8ea")
type of graphics to use (e.g., pdf, png, ps), Default: 'pdf'
size of plot, Default: '15,10'
scale size of plot, Default: 100
aspect of plot, Default: NULL
logical, indicating whether or not visualizations should be vector or raster graphics, Default: FALSE
point size used for visualizations, Default: 12
font type used for visualizations, Default: 'serif'
logical, indicating whether or not visualizations should be placed in one or several files, Default: TRUE
define pixel per inch used for visualizations, Default: 300
define unit of length used for visualizations, Default: 'in'
define a layout size for visualizations, Default: 'a4'
logical, indicating whether or not to inverse layout (e.g., landscape) , Default: FALSE
further arguments passed to or from other methods
list containing MCMC chains , MCMC chains as matrix , summary of MCMC, list of name used, list of data, the jags model, running time of analysis and names of saved files
runjags.options,run.jags
detectCores
as.mcmc.list,varnames
rbind.fill
cor,cov,sd
mvrnorm
write.table