Simulate data from senlm model fit — simulate.senlm • senlm

Simulate from senlm model fit, nsim times, using x values in newdata, or actual x values.

# S3 method for senlm
simulate(object, nsim = 1, seed = NULL, newdata = NULL, ...)

Arguments

object: Model fit.
nsim: Number of simulations to perform. Default value of one.
seed: Random number seed.
newdata: x values to predict y values from. Optional, data values used by default.
...: additional optional arguments.

Value

Data frame of predicted y values.

Examples


if (FALSE) {

## Simulate data
model <- set_models(mean_fun="gaussian", err_dist="zip")
fit <- senlm(model=model, data=haul, xvar="depth", yvar="Sebastolobus.altivelis")
simulate(fit)

## Simulate two data sets with x=400,600,and 800
simulate(fit, nsim=2, newdata=c(400,600,800))
}