Package index • rdss

Package

get_rdss_file(): Download a replication file from the dataverse archive for Research Design in the Social Sciences: Declaration, Diagnosis, and Redesign

Wrap estimators from other packages for use in design steps such as declare_estimator()

causal_forest_handler(): Tidy helper function for causal_forest function
rma_helper(): Helper function for rma function in metafor package
rdrobust_helper(): Helper function for using rdrobust as a model in declare_estimator
post_stratification_helper(): Post stratification estimator helper
did_multiplegt_tidy(): Tidy helper function for did_multiplegt
estimator_AS_tidy(): Tidy helper function for estimator_AS function
process_tracing_estimator(): Process tracing estimator
rma_mu_tau(): Extract mu and tau-squared from a random-effects meta-analysis

best_predictor(): Find the covariate that best predicts treatment effect heterogeneity
conjoint_assignment(): Conjoint experiment assignment handler: conducts complete random assignment of all attribute levels
conjoint_inquiries(): Conjoint experiment inquiries handler
conjoint_measurement(): Conjoint experiment measurement handler: records which profile in each task is chosen
get_exposure_AS(): Helper function to obtain the observed exposure for the Aronow and Samii estimator
lag_by_group(): Generate lags in grouped data

Return model fits from other packages as tidy data frames

Datasets used in the book’s examples and exercises

bonilla_tillery: Replication data for Bonilla and Tillery (2020), American Political Science Review (obtained from Dataverse 10.7910/DVN/IUZDQI)
clingingsmith_etal: Replication data for Clingingsmith, Khwaja, and Kremer (2009), Quarterly Journal of Economics
fairfax: Shapefile of Fairfax County, Virginia, voting precincts
foos_etal: Replication data for Foos, John, Muller, and Cunningham (2021), Journal of Politics (derived from Dataverse 10.7910/DVN/NDPXND)
la_voter_file: Voter file sample for Los Angeles County
lapop_brazil: Teaching data based on the 2018/19 LAPOP AmericasBarometer survey of Brazil

Format numbers for tables, and the book’s ggplot theme and palette

add_parens(): Add parentheses around standard error estimates
format_num(): Round and pad a number to a specific decimal place
make_interval_entry(): Format confidence intervals for nice printing
make_se_entry(): Format estimates and standard errors for nice printing
theme_dd(): ggplot theme used in the book Research Design in the Social Sciences
dd_palette(): Color palettes used in the book Research Design in the Social Sciences
hex_add_alpha(): Add alpha transparency to a color defined in hexadecimal