Since bcajack2 internally runs a regression of the bootstrap estimates onto the bootstrap sample matrix, is it correct to say that the minimum number of bootstrap samples needed for this routine to work is roughly (1/pct) * nrow(X)? The (1/pct) factor is to account for the fact that only a subset of the bootstrap samples get used.
additionally, for documentation purposes, its worth pointing out that even when one has constructed Blist <- list(Y = Y, tt = tt, t0=t0), the documentation's stated function call of bcajack2(Blist) does not seem to work, while bcajack2(B = Blist) does.
Thanks for developing this package - aside from these questions above I have found it to be awesome!
Since
bcajack2internally runs a regression of the bootstrap estimates onto the bootstrap sample matrix, is it correct to say that the minimum number of bootstrap samples needed for this routine to work is roughly(1/pct) * nrow(X)? The(1/pct)factor is to account for the fact that only a subset of the bootstrap samples get used.additionally, for documentation purposes, its worth pointing out that even when one has constructed
Blist <- list(Y = Y, tt = tt, t0=t0), the documentation's stated function call ofbcajack2(Blist)does not seem to work, whilebcajack2(B = Blist)does.Thanks for developing this package - aside from these questions above I have found it to be awesome!