rd2d 0.1.0
- Adds fuzzy boundary RD support for both location-based and
distance-based methods, including fuzzy main effects, ITT, first-stage,
and optional one-sided outputs.
- Adds
params.other and params.cov controls
to rd2d() for optional companion tables and covariance
storage.
- Moves location-based uniform confidence band, WBATE, and LBATE
construction to
summary.rd2d().
- Adds distance-based WBATE and LBATE construction to
summary.rd2d.distance(), including fuzzy main, ITT, and
first-stage outputs.
- Updates location-based return tables to use lowercase column names
such as
estimate.p, std.err.q,
t.value, and p.value.
- Fixes location-based covariance construction for signed
cross-evaluation covariance, clustered finite-sample scaling, and
right-sided simulated critical values.
- Fixes distance-based covariance construction to use signed
local-polynomial residuals, corrected cluster covariance halves, and
side-specific bandwidth plug-in matrices.
- Adds CER-optimal bandwidth selectors
cerrd,
certwo, icerrd, and icertwo for
location-based and distance-based methods.
- Replaces the distance-based
kink/rbc
options with kink.unknown and kink.position,
including adaptive known-kink bandwidths based on boundary point
locations.
- Uses smooth-boundary robust bias-corrected inference as the
distance-based default, and uses the same stabilized Gram-matrix
inversion helper as the location-based methods.
- Uses
q = p by default for distance-based unknown-kink
specifications to avoid compounding the unknown-kink bandwidth shrinkage
with an additional polynomial-order change.
- Aligns distance-based return tables with location-based naming
conventions, including
main, main.0,
main.1, bw, estimate.p,
std.err.q, N.Co, and N.Tr.
- Updates public notation to use
fuzzy for treatment
receipt/status, tau.itt/tau.itt.q for
reduced-form outcome estimates,
tau.fs/tau.fs.q for first-stage estimates,
assignment for assignment, cluster for cluster
identifiers, and distance for signed distance scores.
- Removes user-facing derivative notation from distance-based help
files and printed output.
- Adds focused tests for location-based returns, lazy confidence
bands, aggregate inference, covariance regularization, clustered
covariance consistency, and numerical preservation.
- Adds focused tests for distance-based return names, fuzzy outputs,
heteroskedastic and clustered standard errors, covariance diagonals,
aggregate inference, and polynomial-order validation.
- Simplifies repository illustration files to
R/rd2d_illustration.R and R/rd2d_plot.R.
rd2d 0.0.3
Version published on CRAN on 2025-10-24.