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anesrake
View on CRAN: Click
here
Download and install anesrake package within the R console
Install from CRAN:
install.packages("anesrake")
Install from Github:
library("remotes")
install_github("cran/anesrake")
Install by package version:
library("remotes")
install_version("anesrake", "0.80")
Attach the package and use:
library("anesrake")
Maintained by
Josh Pasek
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2010-05-07
Latest Update: 2018-04-28
Description:
Provides a comprehensive system for selecting
variables and weighting data to match the specifications of the American
National Election Studies. The package includes methods for identifying
discrepant variables, raking data, and assessing the effects of the raking
algorithm. It also allows automated re-raking if target variables fall
outside identified bounds and allows greater user specification than other
available raking algorithms. A variety of simple weighted statistics that
were previously in this package (version .55 and earlier) have been moved to
the package 'weights.'
How to cite:
Josh Pasek (2010). anesrake: ANES Raking Implementation. R package version 0.80, https://cran.r-project.org/web/packages/anesrake. Accessed 30 Apr. 2025.
Previous versions and publish date:
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View anesrake citation profile
Other R packages that anesrake depends,
imports, suggests or enhances
Complete documentation for anesrake
Functions, R codes and Examples using
the anesrake R package
Some associated functions: anes04 . anesrake . anesrakefinder . discrep . generaldesigneffect . rakelist . weightassess .
Some associated R codes: anesrake.R . anesrakefinder.R . discrep.R . discrep.default.R . discrep.factor.R . discrep.logical.R . discrep.numeric.R . generaldesigneffect.R . print.anesrake.R . print.anesrakelist.R . rakelist.R . rakeonvar.R . rakeonvar.default.R . rakeonvar.factor.R . rakeonvar.logical.R . rakeonvar.numeric.R . selecthighestpcts.R . selectnhighest.R . summary.anesrake.R . summary.anesrakelist.R . weightassess.R . Full anesrake package functions and examples
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