fsst.beta.star.bs | R Documentation |
beta.obs
This function computes the bootstrap estimates of \widehat{\bm{β}}^\star_n.
fsst.beta.star.bs( data, lpmodel, beta.n, beta.n.bs, beta.tgt, weight.mat, beta.obs.hat, beta.obs.bs, R, sigma.beta.obs, solver, df.error, p, d, progress, eval.count )
data |
An |
lpmodel |
The |
beta.n |
The sample \widehat{\bm{β}}_n vector that is defined as \widehat{\bm{β}}_n \equiv (\widehat{\bm{β}}_{{\rm obs},n}, \bm{β}_{{\rm shp},n}, \bm{β}_{{\rm tgt}})'. |
beta.n.bs |
The bootstrap estimates of |
beta.tgt |
The value to be tested. |
weight.mat |
The weighting matrix for the |
beta.obs.hat |
The sample estimator
\widehat{\bm{β}}_{\mathrm{obs}, n} based on the given
information in |
beta.obs.bs |
The bootstrap estimates of |
R |
The number of bootstrap replications. |
sigma.beta.obs |
An estimator of the asymptotic variance for
|
solver |
The name of the linear and quadratic programming solver that
is used to obtain the solution to linear and quadratic programs.
The solvers supported by this package are |
df.error |
A table showing the id of the bootstrap replication(s) with error(s) and the corresponding error message(s). |
p |
The length of the beta vector. |
d |
The number of columns of the |
progress |
The boolean variable for whether the progress bars should
be displayed. If it is set as |
eval.count |
The count for the number of times the |
Return the following list of objects:
beta.star |
This corresponds to \widehat{\bm{β}}^\star. |
beta.star.bs |
This corresponds to the bootstrap estimates of \widehat{\bm{β}}^\star. |
x.star |
This corresponds to \bm{x}^\star, which is the
solution to the quadratic program |
x.star.bs |
This corresponds to the bootstrap estimates of \bm{x}^\star. |
df.error |
A table showing the id of the bootstrap replication(s) with error(s) and the corresponding error message(s). |
new.error |
The number of new errors. |
error.id |
The indices of the bootstrap replications that give errors. |
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