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