Description Usage Arguments Value Examples
Plots the values of model parameters for each chain across iterations
1 | lopodTrace(LopodModel, params = "lp__", inc_warmup = FALSE)
|
LopodModel |
A LopodModel object |
params |
Parameters to be plotted. Default is "lp__" which plots the log posterior probability |
inc_warmup |
Boolean. If true, warm-up iterations are plotted. Default is FALSE. |
A ggplot object.
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 | ## Not run:
data("simSpRecords", package = "bayesLopod")
data("simSpSamplingEffort", package = "bayesLopod")
simSpRasters = xyToRaster(xyRecords = simSpRecords,xySamplingEffort = simSpSamplingEffort,
basemap = NULL, nrows = 50, extentExpansion = 0)
ld_Raster_adMatrix = rasterLopodData(rasterN = simSpRasters[["samplingEffort"]],
rasterY = simSpRasters[["spDetections"]], Adjacency = TRUE )
mLopodRaster = modelLopod(LopodData = ld_Raster_adMatrix, varP = TRUE, q = NULL,
pmin = 0.1, CAR = FALSE, nChains = 4,warmup = 500,sampling = 100,nCores = 4)
lopodTrace(mLopodRaster, inc_warmup = FALSE, params = c("p","q"))
data("Andropogon_shape", package = "bayesLopod")
ld_Shape = shapeLopodData(Shapefile = Andropogon_shape, fieldN = "sampEffort",
fieldY = "detections", Adjacency = TRUE, keepFields = FALSE)
mLopodShape = modelLopod(LopodData = ld_Shape, varP = TRUE, q = NULL,
pmin = 0, CAR = TRUE, nChains = 4,warmup = 500,sampling = 100,nCores =4)
lopodTrace(mLopodShape, inc_warmup = TRUE)
## End(Not run)
|
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.