dkqs.bs.fn | R Documentation |
dkqs
procedureThis function carries out the one bootstrap replication of the
DKQS procedure This function is used in the dkqs.bs
function via the future_map
function.
dkqs.bs.fn( x, data, lpmodel, beta.obs.hat, beta.tgt, s.star.list, tau.list, solver, n, pbar, eval.count, n.bs, any.list, progress )
x |
This is either the list of indices that represent the bootstrap
replications, or the list of bootstrap components of the |
data |
An |
lpmodel |
An |
beta.obs.hat |
The value of sample \hat{\bm{β}}_{\mathrm{obs}}
from the |
beta.tgt |
The value to be tested. |
s.star.list |
The list of values of \hat{\bm{s}}^\star \equiv \bm{A}_{\mathrm{obs}}\hat{\bm{x}}_n^\star in the cone-tightening procedure for each τ. |
tau.list |
The list of feasible parameters τ. |
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 |
n |
The sample size. This is only required if |
pbar |
The progress bar object. |
eval.count |
The count for the number of times the |
n.bs |
The total number of replications to be conducted in this procedure. |
any.list |
This object contains information on whether any components
in the |
progress |
The boolean variable for whether the progress bars should
be displayed. If it is set as |
Returns a list of output that are obtained from the DKQS procedure:
Ts |
A bootstrap test statistic. |
beta |
A bootstrap estimator. |
param |
A list of problematic parameters in the DKQS test. |
msg |
An error message (if applicable). |
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.