plot.mvrm {BNSP} | R Documentation |
This function plots estimated terms that appear in the mean and variance models.
## S3 method for class 'mvrm' plot(x, model, term, response, response2, intercept = TRUE, grid = 30, centre = mean, quantiles = c(0.1, 0.9), contour = TRUE, static = TRUE, centreEffects = FALSE, plotOptions = list(), nrow, ask = FALSE, plotEmptyCluster = FALSE, ...)
x |
an object of class ‘mvrm’ as generated by function |
model |
one of "mean", "stdev", or "both", specifying which model to be visualized. |
term |
the term in the selected model to be plotted. |
response |
integer number denoting the response variable to be plotted (in case there is more than one). |
response2 |
only relevant for multivariate longitudinal data. |
intercept |
specifies if an intercept should be included in the calculations. |
grid |
the length of the grid on which the term will be evaluated. |
centre |
a description of how the centre of the posterior should be measured. Usually |
quantiles |
the quantiles to be used when plotting credible regions. Plots without credible intervals may be obtained by setting this argument to NULL. |
contour |
relevant for 3D plots only. If |
static |
relevant for 3D plots only. If |
centreEffects |
if TRUE then the effects in the mean functions are centred around zero over the range of the predictor while the effects in the variance function are scaled around one. |
plotOptions |
for plots of univariate smooth terms or for plots of bivariate smooth terms where one of the
two covariates is discrete, this is a list of plot elements to give to |
nrow |
the number of rows in the figure with the plots. |
ask |
if set to TRUE, plots will be displayed one at a time. |
plotEmptyCluster |
if set to TRUE, plots of empty clusters will be displayed. Relevant for multivariate longitudinal datasets. |
... |
other arguments. |
Use this function to obtain predictions.
Predictions along with credible/pediction intervals
Georgios Papageorgiou gpapageo@gmail.com
#see \code{mvrm} example