errorsAndBounding: Assign errors to known mean estimates, and bounds for all...

In saharaja/imputeORS: Impute Missing Values in the BLS Occupational Requirements Survey

Description

In the ORS, errors are collected alongside the mean estimates, which allows empirical bounding of the data during modeling. For records lacking a mean estimate/error, we can still bound the missing estimate using the remaining value in an occupational group. For example, if there are three records in an occupational group, of which two estimates are known and sum to X%, the upper bound of the missing estimate is 100%-X%, and the lower bound is 0%.

Usage

errorsAndBounding(orsE, orsMnGC)

Arguments

orsE	Errors associated with mean estimates (output of getErrors())
orsMnGC	N-1 group completed data (output of fillNminusOneGroups())

Value

Data with relevant errors and bounds assigned to each record

See Also

getErrors()

fillNminusOneGroups()

saharaja/imputeORS documentation built on Feb. 4, 2022, 12:27 a.m.