Changelog

`fwb` (development version)

Add a new .coef argument to vcovFWB(). A function can be supplied to extract a vector of coefficients from the fitted model in each bootstrap iteration if the default (stats::coef()) doesn’t return a numeric vector (e.g., for nnet::multinom() models). An error message is now thrown if .coef doesn’t return a numeric vector.
Added support for using future backend for fwb() by supplying cl = "future". Thanks to Katya Zelevinsky for the suggestion.
A warning is now thrown when using fwb() with simple = TRUE with non-NULL cl when the random number generator kind is not "L'Ecuyer-CMRG". Under these circumstances, results may not replicate and the BCa confidence interval will be inaccurate.
Fixed a bug where the names of quantities produced by fwb() when statistic returns an unnamed vector were incorrect.

CRAN release: 2023-12-07

fwb() and vcovFWB() now take an additional argument, wtype, which specifies how the weights are drawn. The default, "exp" is still to draw weights from an $\text{Exp}(1)$ distribution but other options, namely "multinom" for multinomial integer weights (which reproduce boot::boot() results exactly), "poisson" for Poisson integer weights, and "mammen" for second-order accurate Mammen weights as recommended by Lihua Lei here. (#4)
New functions set_fwb_wtype() and get_fwb_wtype() allow one to set global defaults for the wtype argument of fwb() and vcovFWB()`.

CRAN release: 2023-10-02

CRAN release: 2022-10-26

Fixed bugs related to the index argument of various functions, including bugs when the estimated quantity is not given a name.
Some error messages may be clearer.

CRAN release: 2022-09-19