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Conake: Continuous Associated Kernel Estimation

Continuous smoothing of probability density function on a compact or semi-infinite support is performed using four continuous associated kernels: extended beta, gamma, lognormal and reciprocal inverse Gaussian. The cross-validation technique is also implemented for bandwidth selection.

Version: 1.0.1
Published: 2022-06-13
Author: W. E. Wansouwé, F. G. Libengué and C. C. Kokonendji
Maintainer: W. E. Wansouwé <ericwansouwe at gmail.com>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: www.r-project.org
NeedsCompilation: no
CRAN checks: Conake results

Documentation:

Reference manual: Conake.pdf

Downloads:

Package source: Conake_1.0.1.tar.gz
Windows binaries: r-devel: Conake_1.0.1.zip, r-release: Conake_1.0.1.zip, r-oldrel: Conake_1.0.1.zip
macOS binaries: r-release (arm64): Conake_1.0.1.tgz, r-oldrel (arm64): Conake_1.0.1.tgz, r-release (x86_64): Conake_1.0.1.tgz, r-oldrel (x86_64): Conake_1.0.1.tgz
Old sources: Conake 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.
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