Description Usage Arguments Value
View source: R/do_combination.R
Creates a synthetic estimator by minimizing the (estimated) mean squared error of a linear combination of multiple candidate estimators.
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ests |
one-row, p-column data frame of estimators. |
name_0 |
character value of the name of the presumed unbiased estimator, θ_0. Default is NULL, which returns results for using each candidate estimator as θ_0, one synthetic estimator for each. If |
C |
p x p covariance matrix of |
print |
logical indicating whether details should be printed. Default is FALSE. |
exclude_t0 |
logical indicating whether θ_0 should be considered an external estimator (not a candidate for combining with others). Default is FALSE. |
bias_type |
method to compute the bias in the mean squard error. Default is |
boot_mean |
mean of bootstrap samples for bootstrap-based bias estimation. |
ate_0 |
external value of θ_0. Default is NULL, in which case θ_0 is taken to be |
n |
sample size. Default is NULL. Needed only if |
list of three objects, including ate_res
which gives results for the synthetic estimator, b_res
which gives results for how the estimators were combined, and C
which gives the covariance matrix of the estimators.
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