Tilted and Data-Sharpened Nonparametric Density Estimation

---

Documentation for package ‘tiltdens’ version 0.1.1

• DESCRIPTION file.
• User guides, package vignettes and other documentation.
• Package NEWS.

Help Pages

bandwidth	Bandwidth selectors
bw_canonical_factor	Bandwidth selectors
bw_comparator_cv	Bandwidth selectors
bw_convert	Bandwidth selectors
bw_flattop	Bandwidth selectors
bw_nrd_robust	Bandwidth selectors
comparator_density	Infinite-order kernel density estimators
ise	Integrated squared error against a known density
kernels	Kernels for the perturbed estimator
plot.tiltdens_md	Contour plot of a bivariate fit
predict.tiltdens	Evaluate a fitted density at new points
predict.tiltdens_md	Evaluate a fitted density at new points
print.summary.tiltdens	Summarise a tilted or sharpened density fit
print.tiltdens	Print a tilted or sharpened density fit
print.tiltdens_md	Print a multivariate fit
real_ga	Real-coded genetic algorithm for small box-constrained problems
sharpen_density	Data-sharpened density estimation
sinc_density	Infinite-order kernel density estimators
summary.tiltdens	Summarise a tilted or sharpened density fit
tilt_cv	Cross-validation criterion for a tilted estimator
tilt_density	Tilted density estimation by distance to a comparator
tilt_density_cv	Tilted density estimation by cross-validation
tilt_kernel	Kernels for the perturbed estimator
tilt_kernels	Kernels for the perturbed estimator
trapezoid_density	Infinite-order kernel density estimators