Package: L2DensityGoFtest 0.6.0

Dimitrios Bagkavos

L2DensityGoFtest: Density Goodness-of-Fit Test

Provides functions for the implementation of a density goodness-of-fit test, based on piecewise approximation of the L2 distance.

Authors:Dimitrios Bagkavos [aut, cre]

# Install 'L2DensityGoFtest' in R:

install.packages('L2DensityGoFtest', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

Last updated from:09956ce79e. Checks:4 OK. Indexed: yes.

Target	Result	Time
linux-devel-x86_64	OK	136
source / vignettes	OK	175
linux-release-x86_64	OK	141
wasm-release	OK	100

Help page	Topics
Asymptoticaly normal critical value for the goodness-of-fit test statistic \hat{S}_n(h) of Bagkavos, Patil and Wood (2021)	cutoff.asymptotic
Bootstrap critical value for the goodness-of-fit test statistic \hat{S}_n(h) of Bagkavos, Patil and Wood (2021)	cutoff.bootstrap
Critical value based on Edgeworth expansion of the size function for the density goodness-of-fit test \hat{S}_n(h) of Bagkavos, Patil and Wood (2021)	cutoff.edgeworth
Power-optimal bandwidth for the test statistic \hat{S}_n(h)	hopt.be
Power-optimal bandwidth for the density goodness-of-fit test 'S.n'.	hopt.edgeworth
Kernel Density Estimation	kde
Kernel functions	Biweight Epanechnikov Epanechnikov2 Gaussian Rectangular Triangular
Select null distribution	NDistDens
Density goodness-of-fit test statistic based on discretized L2 distance	S.n
Goodness-of-Fit test statistic based on discretized L2 distance	S.n.Boot
Density goodness-of-fit test statistic based on discretized L2 distance	S.nd