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blocs  

Estimate and Visualize Voting Blocs' Partisan Contributions
View on CRAN: Click here


Download and install blocs package within the R console
Install from CRAN:
install.packages("blocs")

Install from Github:
library("remotes")
install_github("cran/blocs")

Install by package version:
library("remotes")
install_version("blocs", "0.1.1")



Attach the package and use:
library("blocs")
Maintained by
Cole Tanigawa-Lau
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2022-11-23
Latest Update: 2023-04-02
Description:
Functions to combine data on voting blocs' size, turnout, and vote choice to estimate each bloc's vote contributions to the Democratic and Republican parties. The package also includes functions for uncertainty estimation and plotting. Users may define voting blocs along a discrete or continuous variable. The package implements methods described in Grimmer, Marble, and Tanigawa-Lau (2023) .
How to cite:
Cole Tanigawa-Lau (2022). blocs: Estimate and Visualize Voting Blocs' Partisan Contributions. R package version 0.1.1, https://cran.r-project.org/web/packages/blocs. Accessed 22 Dec. 2024.
Previous versions and publish date:
0.1.0 (2022-11-23 12:20)
Other packages that cited blocs R package
View blocs citation profile
Other R packages that blocs depends, imports, suggests or enhances
Complete documentation for blocs
Functions, R codes and Examples using the blocs R package
Some associated functions: anes . check_vbdf . estimate_density . new_vbdf . new_vbsum . vb_continuous . vb_difference . vb_discrete . vb_plot . vb_summary . vbdf . wtd_table . 
Some associated R codes: continuous.R . data.R . difference.R . discrete.R . globals.R . plot.R . uncertainty.R . vbdf.R .  Full blocs package functions and examples
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