Other packages > Find by keyword >

senatebR  

Collect Data from the Brazilian Federal Senate Open Data API
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("senatebR", "0.1.0")



Attach the package and use:
library("senatebR")
Maintained by
Vinicius Santos
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2026-04-16
Latest Update: 2026-04-16
Description:
Provides functions to access and collect data from the Brazilian Federal Senate open data API and website. Covers senators, legislative materials, committees, voting records, speeches, provisional measures, vetoes, and legislative agendas, returning results as tidy data frames ready for analysis.
How to cite:
Vinicius Santos (2026). senatebR: Collect Data from the Brazilian Federal Senate Open Data API. R package version 0.1.0, https://cran.r-project.org/web/packages/senatebR. Accessed 23 Jul. 2026.
Previous versions and publish date:
No previous versions
Other packages that cited senatebR R package
View senatebR citation profile
Other R packages that senatebR depends, imports, suggests or enhances
Complete documentation for senatebR
Functions, R codes and Examples using the senatebR R package
Full senatebR package functions and examples
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

gfcanalysis  
Tools for Working with Hansen et al. Global Forest Change Dataset
Supports analyses using the Global Forest Change dataset released by Hansen et al. gfcanalysis was ...
Download / Learn more Package Citations See dependency  
fitscape  
Classes for Fitness Landscapes and Seascapes
Convenient classes to model fitness landscapes and fitness seascapes. A low-level package with whic ...
Download / Learn more Package Citations See dependency  
MixSIAR  
Bayesian Mixing Models in R
Creates and runs Bayesian mixing models to analyze biological tracer data (i.e. stable isotopes, fa ...
Download / Learn more Package Citations See dependency  
ODS  
Statistical Methods for Outcome-Dependent Sampling Designs
Outcome-dependent sampling (ODS) schemes are cost-effective ways to enhance study efficiency. In OD ...
Download / Learn more Package Citations See dependency  
nextGenShinyApps  
Craft Exceptional 'R Shiny' Applications and Dashboards with Novel Responsive Tools
Nove responsive tools for designing and developing 'Shiny' dashboards and applications. The scripts ...
Download / Learn more Package Citations See dependency  

27,889

R Packages

239,283

Dependencies

74,019

Author Associations

27,890

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA