logLik method for MARSS MLE objects
logLik_marssMLE.Rd
Returns a logLik class object with attributes nobs and df.
Arguments
- object
A
marssMLE
object.- ...
Other arguments. Not used.
See also
MARSSkf()
Examples
dat <- t(harborSeal)
dat <- dat[c(2, 11, 12), ]
MLEobj <- MARSS(dat, model = list(Z = factor(c("WA", "OR", "OR"))))
#> Success! abstol and log-log tests passed at 37 iterations.
#> Alert: conv.test.slope.tol is 0.5.
#> Test with smaller values (<0.1) to ensure convergence.
#>
#> MARSS fit is
#> Estimation method: kem
#> Convergence test: conv.test.slope.tol = 0.5, abstol = 0.001
#> Estimation converged in 37 iterations.
#> Log-likelihood: 13.72233
#> AIC: -11.44465 AICc: -8.918339
#>
#> Estimate
#> A.OR.SouthCoast 0.49280
#> R.diag 0.02509
#> U.WA 0.06171
#> U.OR 0.03686
#> Q.(WA,WA) 0.01082
#> Q.(OR,OR) 0.00439
#> x0.WA 7.41712
#> x0.OR 6.56460
#> Initial states (x0) defined at t=0
#>
#> Standard errors have not been calculated.
#> Use MARSSparamCIs to compute CIs and bias estimates.
#>
logLik(MLEobj)
#> 'log Lik.' 13.72233 (df=8)