gauge_covar {robust2sls} | R Documentation |
Asymptotic covariance of gauge
Description
gauge_covar
calculates the asymptotic covariance between two FODRs
with different cut-off values s and t for a given iteration using a given set
of parameters (true or estimated).
Usage
gauge_covar(
ref_dist = c("normal"),
sign_level1,
sign_level2,
initial_est = c("robustified", "saturated", "iis"),
iteration,
parameters,
split
)
Arguments
ref_dist |
A character vector that specifies the reference distribution
against which observations are classified as outliers. |
sign_level1 |
A numeric value between 0 and 1 that determines the first cutoff in the reference distribution against which observations are judged as outliers or not. |
sign_level2 |
A numeric value between 0 and 1 that determines the second cutoff in the reference distribution against which observations are judged as outliers or not. |
initial_est |
A character vector that specifies the initial estimator
for the outlier detection algorithm. |
iteration |
An integer >= 0 or character |
parameters |
A list created by generate_param or
estimate_param_null that stores the parameters (true or estimated).
|
split |
A numeric value strictly between 0 and 1 that determines
in which proportions the sample will be split. Can be |
Details
Initial estimator "iis"
uses the asymptotic variances of
"robustified"
2SLS because there is no formal theory for the
multi-block search.
Value
gauge_covar
returns a numeric value.