The hardware and bandwidth for this mirror is donated by METANET, the Webhosting and Full Service-Cloud Provider.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]metanet.ch.
R implementation of the procedures in Cheng and Chen, “Nonparametric Inference via Bootstrapping the Debiased Estimator”.
If you use these methods or this software, please cite the paper (Electronic Journal of Statistics 13(1), 2019; doi:10.1214/19-EJS1575).
library(debiasedInference)
set.seed(2026)
x <- rnorm(300)
fit <- debiased_kde(x)
band <- kde_confidence_band(x, n_boot = 499, random_state = 2026)The result objects are ordinary lists with classes
di_estimate, di_band, and di_set,
so their numerical components are directly accessible.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.