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NPFD: N-Power Fourier Deconvolution

Implements the N-Power Fourier Deconvolution (NPFD) method for nonparametric density deconvolution when observations are available from a convolving distribution and the corresponding convolved distribution, but no direct observations are available from the target distribution. Functions are provided for deconvolution, construction of samples from replicated mixed measurements, and spline-based density estimation. The methodology is described in Anarat, Krutmann and Schwender (2026) <doi:10.1186/s12859-026-06408-0>.

Version: 1.0.2
Depends: R (≥ 3.5.0)
Imports: siggenes, KernSmooth, splines, stats, graphics, VGAM
Suggests: knitr, rmarkdown
Published: 2026-10-19
DOI: 10.32614/CRAN.package.NPFD
Author: Akin Anarat [aut, cre]
Maintainer: Akin Anarat <akin.anarat at hhu.de>
License: GPL-3
NeedsCompilation: no
Citation: NPFD citation info
Materials: NEWS
CRAN checks: NPFD results

Documentation:

Reference manual: NPFD.html , NPFD.pdf
Vignettes: Introduction to NPFD (source, R code)

Downloads:

Package source: NPFD_1.0.2.tar.gz
Windows binaries: r-devel: NPFD_1.0.1.zip, r-release: NPFD_1.0.2.zip, r-oldrel: NPFD_1.0.2.zip
macOS binaries: r-release (arm64): NPFD_1.0.2.tgz, r-oldrel (arm64): NPFD_1.0.2.tgz, r-release (x86_64): NPFD_1.0.2.tgz, r-oldrel (x86_64): NPFD_1.0.2.tgz
Old sources: NPFD archive

Linking:

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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.