Options for the SAEM stochastic-approximation covariance in setCov()

Used by setCov(fit, "sa"), which runs a short SAEM at the fit's estimates before the covariance phase.

Usage

saControl(nBurn = 100L, nEm = 100L, nSaCov = 500L, seed = 99L)

Arguments

nBurn, nEm

warm-up iterations that equilibrate the MCMC chains before the covariance phase

nSaCov

iterations in the covariance phase; more gives a less noisy covariance

seed

random seed

Value

saControl object

See also

setCov(), saemControl()

Author

Matt Fidler

Examples

saControl(nSaCov = 1000)
#> $nBurn
#> [1] 100
#> 
#> $nEm
#> [1] 100
#> 
#> $nSaCov
#> [1] 1000
#> 
#> $seed
#> [1] 99
#> 
#> attr(,"class")
#> [1] "saControl"