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ppmf
View on CRAN: Click
here
Download and install ppmf package within the R console
Install from CRAN:
install.packages("ppmf")
Install from Github:
library("remotes")
install_github("cran/ppmf") Install by package version:
library("remotes")
install_version("ppmf", "0.2.1") Attach the package and use:
library("ppmf")
Maintained by
Christopher T. Kenny
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2021-12-15
Latest Update: 2021-12-15
Description:
Implements data processing described in to align modern differentially private data with formatting of older US Census data releases. The primary goal is to read in Census Privacy Protected Microdata Files data in a reproducible way. This includes tools for aggregating to relevant levels of geography by creating geographic identifiers which match the US Census Bureau's numbering. Additionally, there are tools for grouping race numeric identifiers into categories, consistent with OMB (Office of Management and Budget) classifications. Functions exist for downloading and linking to existing sources of privacy protected microdata.
How to cite:
Christopher T. Kenny (2021). ppmf: Read Census Privacy Protected Microdata Files. R package version 0.2.1, https://cran.r-project.org/web/packages/ppmf. Accessed 17 Jul. 2026.
Previous versions and publish date:
(2026-07-09 06:43), 0.1.3 (2021-12-15 09:20)
Other packages that cited ppmf R package
View ppmf citation profile
Other R packages that ppmf depends,
imports, suggests or enhances
Complete documentation for ppmf
Functions, R codes and Examples using
the ppmf R package
Some associated functions: add_geoid . add_ppmf12_path . add_ppmf19_path . add_ppmf4_path . agg . breakdown_geoid . download_ppmf . get_ppmf_links . overwrite_hisp_race . pipe . ppmf_ex . races . read_merge_ppmf . read_ppmf . replace_race . states .
Some associated R codes: add_path.R . aggregate.R . data.R . geoid.R . get_data.R . race.R . read_merge.R . utils-pipe.R . Full ppmf package functions and examples
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