car_control {cts} | R Documentation |
Setup in the predict and numerical optimization in the Kalman filter algorithm.
car_control(fty=1, n.ahead=10, trace=FALSE, ari=TRUE, vri=FALSE, vr=0, pfi="MAPS", ccv="CTES", lpv=TRUE, scc=TRUE, nit=40, opm=1, rgm=1, req=0.5, con=1.0e-5, rpe=1.0, ivl=1.0e-2, fac=1.0e1, stl=1.0e-5, sml=1.0e2, gtl=1.0e5, kst=TRUE, fct=TRUE)
fty |
|
n.ahead |
number of steps ahead at which to predict. |
trace |
a logical value triggering printout of information during the fitting process, and major results for the fitted model. |
ari |
|
vri |
|
vr |
0.5, initial value of observation noise ratio: only if
|
pfi |
always use the option pfi="MAPS". |
ccv |
|
lpv |
|
scc |
|
nit |
number of iteations. |
opm |
|
rgm |
|
req |
root equality switch value. |
con |
convergence criterion. |
rpe |
relative size of parameter perturbations. |
ivl |
initial value of step size constraint parameter. |
fac |
step size constraint modification parameter. This value may
be setup to |
stl |
typical smallest step size parameter. |
sml |
typical small step size parametrr. |
gtl |
typical greatest step size parameter. |
kst |
|
fct |
|
Objects returned by this function specify predict and numerical optimization parameters of the Kalman filter algorithms implemented in car
,
(via the ctrl
argument).
An object of class car_control
, a list.
car
for the usage