computeCIs: Calculate confidence intervals for final predictions (missing...
In saharaja/imputeORS: Impute Missing Values in the BLS Occupational Requirements Survey
Description
Usage
Arguments
Value
See Also
View source: R/functions_analysis.R
Description
Our procedure involves creating a set of simulated data based on the original
known data. Thus, for each observation we end up with a distribution of
predictions, rather than a single point estimate. This allows us to calculate
confidence intervals around each prediction. This CI calculation is done only
for observations with missing values (i.e., those that were imputed).
Usage
1
computeCIs(blended.results, confidence.level = 0.95)
Arguments
blended.results
Blended predictions from imputation models, calculated
at convergence iterations and blending proportions computed by
computeBlendingRatio() (output of blendImputations())
confidence.level
Level at which to calculate confidence intervals;
default is 0.95
Value
A list of length two, containing a data frame describing distribution
of predictions (one prediction per simulation) for each observation that was
imputed, and another data frame describing the confidence interval calculated
for each of these observations; note that the latter includes a column called
"error.flag" that indicates whether there was an error in computing the CI
(the detailed errors are printed during execution)
See Also
saharaja/imputeORS documentation built on Feb. 4, 2022, 12:27 a.m.
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Description Usage Arguments Value See Also
View source: R/functions_analysis.R
Description
Our procedure involves creating a set of simulated data based on the original known data. Thus, for each observation we end up with a distribution of predictions, rather than a single point estimate. This allows us to calculate confidence intervals around each prediction. This CI calculation is done only for observations with missing values (i.e., those that were imputed).
Usage
1 | computeCIs(blended.results, confidence.level = 0.95)
|
Arguments
blended.results |
Blended predictions from imputation models, calculated
at convergence iterations and blending proportions computed by
|
confidence.level |
Level at which to calculate confidence intervals; default is 0.95 |
Value
A list of length two, containing a data frame describing distribution of predictions (one prediction per simulation) for each observation that was imputed, and another data frame describing the confidence interval calculated for each of these observations; note that the latter includes a column called "error.flag" that indicates whether there was an error in computing the CI (the detailed errors are printed during execution)
See Also
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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