glmPostSummary: Summary statistics for differentially private GLM via the...
In IQSS/PSI-Library: Differentially Private Statistical Releases for Privacy Preservation
Description
Usage
Arguments
Value
View source: R/statistic-glm.R
Description
Summary statistics for differentially private GLM via the bootstrap
Usage
1
glmPostSummary(release, n, model, alpha)
Arguments
release
Numeric matrix with differentially private estimates for each bootstrap sample
n
Integer indicating number of observations
model
Character indicating model form
alpha
Numeric proportion of vector to be trimmed, specifically the
least and greatest alpha / 2 are trimmed
Value
Data frame summary statistics, including estimates and standard errors
IQSS/PSI-Library documentation built on Feb. 15, 2020, 9:03 p.m.
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Description Usage Arguments Value
View source: R/statistic-glm.R
Description
Summary statistics for differentially private GLM via the bootstrap
Usage
1 | glmPostSummary(release, n, model, alpha)
|
Arguments
release |
Numeric matrix with differentially private estimates for each bootstrap sample |
n |
Integer indicating number of observations |
model |
Character indicating model form |
alpha |
Numeric proportion of vector to be trimmed, specifically the
least and greatest |
Value
Data frame summary statistics, including estimates and standard errors
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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