plotSMC.Rd
Plot the observation generated by the filtered trajectories together with the data.
plotSMC(
smc,
fitmodel,
theta,
data = NULL,
summary = TRUE,
alpha = 1,
allVars = FALSE,
plot = TRUE
)
output of particleFilter
a fitmodel
object
named numeric vector. Values of the parameters. Names should
match fitmodel$thetaNames
.
data frame. Observation times and observed data. The time column
must be named as given by timeColumn
, whereas the name of the data
column should match one of fitmodel$stateNames
.
logical. If TRUE
, the mean, median as well as the 50th
and 95th percentile of the trajectories are plotted (default). If
FALSE
, all individual trajectories are plotted (transparency can be
set with alpha
).
transparency of the trajectories (between 0 and 1).
logical, if FALSE
only the observations are plotted.
Otherwise, all state variables are plotted.
if TRUE
the plot is displayed, and returned otherwise.
particleFilter