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Create a bootstrap distribution of a particular coefficient from a model fit

Usage

bootstrap_parameters(x,nboot,upper,lower,...)

Arguments

x

an object of class "litfit"

nboot

number of bootstrap replications

upper

optional vector of upper bounds for the bootstrap replicates

lower

optional vector of lower bounds for the bootstrap replicates

...

passed to optim

Value

litfit_bootstrap object

Examples

fit <- fit_litter(time=pineneedles$Year,
mass.remaining=pineneedles$Mass.remaining, model='neg.exp', iters=100)
#> Number of successful fits:  96  out of 100 
boot1 <- bootstrap_parameters(fit, nboot = 500)