Package: rddapp 1.3.2

rddapp: Regression Discontinuity Design Application

Estimation of both single- and multiple-assignment Regression Discontinuity Designs (RDDs). Provides both parametric (global) and non-parametric (local) estimation choices for both sharp and fuzzy designs, along with power analysis and assumption checks. Introductions to the underlying logic and analysis of RDDs are in Thistlethwaite, D. L., Campbell, D. T. (1960) <doi:10.1037/h0044319> and Lee, D. S., Lemieux, T. (2010) <doi:10.1257/jel.48.2.281>.

Authors:Ze Jin [aut], Wang Liao [aut], Irena Papst [aut], Wenyu Zhang [aut], Kimberly Hochstedler [aut], Felix Thoemmes [aut, cre]

rddapp_1.3.2.tar.gz
rddapp_1.3.2.zip(r-4.5)rddapp_1.3.2.zip(r-4.4)rddapp_1.3.2.zip(r-4.3)
rddapp_1.3.2.tgz(r-4.4-any)rddapp_1.3.2.tgz(r-4.3-any)
rddapp_1.3.2.tar.gz(r-4.5-noble)rddapp_1.3.2.tar.gz(r-4.4-noble)
rddapp_1.3.2.tgz(r-4.4-emscripten)rddapp_1.3.2.tgz(r-4.3-emscripten)
rddapp.pdf |rddapp.html
rddapp/json (API)
NEWS

# Install 'rddapp' in R:
install.packages('rddapp', repos = c('https://felixthoemmes.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/felixthoemmes/rddapp/issues

Datasets:
  • CARE - Carolina Abecedarian Project and the Carolina Approach to Responsive Education (CARE), 1972-1992

On CRAN:

non-parametric-rddparametric-rddrdd

14 exports 8 stars 1.65 score 103 dependencies 44 scripts 305 downloads

Last updated 1 years agofrom:f81091ab19. Checks:OK: 5 NOTE: 2. Indexed: yes.

TargetResultDate
Doc / VignettesOKAug 23 2024
R-4.5-winNOTEAug 23 2024
R-4.5-linuxNOTEAug 23 2024
R-4.4-winOKAug 23 2024
R-4.4-macOKAug 23 2024
R-4.3-winOKAug 23 2024
R-4.3-macOKAug 23 2024

Exports:dc_testmfrd_estmrd_estmrd_imputemrd_powermrd_sens_bwmrd_sens_cutoffrd_estrd_imputerd_powerrd_sens_bwrd_sens_cutoffsens_plotshiny_run

Dependencies:abindAERbackportsbase64encbootbroombslibcachemcarcarDataclicolorspacecommonmarkcowplotcpp11crayoncrosstalkDerivdigestdoBydplyrDTevaluatefansifarverfastmapfontawesomeFormulafsgenericsggplot2gluegtablehighrhtmltoolshtmlwidgetshttpuvisobandjquerylibjsonliteknitrlabelinglaterlatticelazyevallifecyclelme4lmtestmagrittrMASSMatrixMatrixModelsmemoisemgcvmicrobenchmarkmimeminqamisc3dmodelrmunsellnlmenloptrnnetnumDerivpbkrtestpillarpkgconfigplot3DpromisespurrrquantregR.methodsS3R.ooR.utilsR6rappdirsRColorBrewerRcppRcppEigenrlangrmarkdownsandwichsassscalesshinysourcetoolsspSparseMstringistringrsurvivaltibbletidyrtidyselecttinytexutf8vctrsviridisLitewithrxfunxtableyamlzoo

Measuring distances from the frontier

Rendered fromdistance-from-frontier.Rmdusingknitr::rmarkdownon Aug 23 2024.

Last update: 2021-12-03
Started: 2018-10-22

Using the rddapp R package

Rendered fromrddapp.Rmdusingknitr::rmarkdownon Aug 23 2024.

Last update: 2022-01-31
Started: 2018-01-26

Readme and manuals

Help Manual

Help pageTopics
Regression Discontinuity Design Applicationrddapp-package rddapp
Attrition Checksattr_check
Imbens-Kalyanaraman 2009 Optimal Bandwidth Calculationbw_ik09
Imbens-Kalyanaraman 2012 Optimal Bandwidth Calculationbw_ik12
Carolina Abecedarian Project and the Carolina Approach to Responsive Education (CARE), 1972-1992CARE
McCrary Sorting Testdc_test
Multivariate Frontier Regression Discontinuity Estimationmfrd_est
Multivariate Regression Discontinuity Estimationmrd_est
Multiple Imputation of Multivariate Regression Discontinuity Estimationmrd_impute
Power Analysis of Multivariate Regression Discontinuitymrd_power
Bandwidth Sensitivity Simulation for Multivariate Regression Discontinuitymrd_sens_bw
Cutoff Sensitivity Simulation for Multivariate Regression Discontinuitymrd_sens_cutoff
Plot the Multivariate Frontier Regression Discontinuityplot.mfrd
Plot the Regression Discontinuityplot.rd
Predict the Regression Discontinuitypredict.rd
Print the Multivariate Frontier Regression Discontinuityprint.mfrd
Print the Regression Discontinuityprint.rd
Regression Discontinuity Estimationrd_est
Multiple Imputation of Regression Discontinuity Estimationrd_impute
Power Analysis of Regression Discontinuityrd_power
Bandwidth Sensitivity Simulation for Regression Discontinuityrd_sens_bw
Cutoff Sensitivity Simulation for Regression Discontinuityrd_sens_cutoff
Determine Type of Regression Discontinuity Designrd_type
Plot the Simulated Estimates for Sensitivity Analysessens_plot
Launch the R Shiny App for "rddapp"shiny_run
Summarize the Multivariate Frontier Regression Discontinuitysummary.mfrd
Summarize the Multivariate Regression Discontinuitysummary.mrd
Summarize the Multiple Imputation of Multivariate Regression Discontinuitysummary.mrdi
Summarize the Power Analysis of Regression Discontinuitysummary.mrdp
Summarize the Regression Discontinuitysummary.rd
Summarize the Power Analysis of Regression Discontinuitysummary.rdp
Treatment Assignment for Regression Discontinuitytreat_assign
Assignment Centering for Multivariate Frontier Regression Discontinuityvar_center
Kernel Weight Calculationwt_kern
Bivariate Kernel Weight Calculationwt_kern_bivariate