Description Usage Arguments Details Value See Also
Setup in the predict and numerical optimization in the Kalman filter algorithm.
1 2 3 
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
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