Download Package `MARSS`

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MARSSmcinit
free$B=array(NA,dim=c(m,m));
fixed$B=array(0,dim=c(m,m)); diag(fixed$B)=1
free$x0=array(seq(1,m),dim=c(m,1)); fixed$x0 = array(NA,dim=c(m,1));
free$V0=array(NA,dim=c(m,m)); fixed$V0 = array(0,dim=c(m,m))
m1 <- marssm(fixed=fixed, free=free)
is.marssm(m1)
dat = t(harborSeal)
dat = dat[2:nrow(dat),]
#allowed is a hidden variable which specifies what model structures are allowed
wrapperObj = popWrap(dat, MARSS:::allowed$kem, method="kem")
modelObj = as.marssm(wrapperObj)
marssm-class
Class "marssm"
Description
marssm objects describe the multivariate autoregressive state space models used in the package
MARSS-package.
Methods
print signature(x = "marssm"): ...
summary signature(object = "marssm"): ...
Author(s)
Kellie Wills, NOAA, Seattle, USA.
kellie(dot)wills(at)noaa(dot)gov
MARSSmcinit
Monte Carlo Initialization
Description
Performs a Monte Carlo search for optimal initial conditions iterative maximization algorithms
(MARSSkem and MARSSoptim). This is a utility function in the MARSS-package.
Usage
MARSSmcinit(MLEobj)
Arguments
MLEobj
An object of class marssMLE.