Create a bootstrap distribution of a particular coefficient from a model fit
Source:R/bootstrap.R
bootstrap_parameters.Rd
Create a bootstrap distribution of a particular coefficient from a model fit
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
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)