LNPar: Estimation and Testing for a Lognormal-Pareto Mixture

Estimates a lognormal-Pareto mixture by means of the Expectation-Conditional-Maximization-Either algorithm and by maximizing the profile likelihood function. A likelihood ratio test for discriminating between lognormal and Pareto tail is also implemented. See Bee, M. (2022) <doi:10.1007/s11634-022-00497-4>.

Version:	1.1.2
Depends:	R (≥ 4.0.0)
Imports:	Rdpack, parallel, stats
Published:	2025-08-26
DOI:	10.32614/CRAN.package.LNPar
Author:	Marco Bee [aut, cre]
Maintainer:	Marco Bee <marco.bee at unitn.it>
License:	MIT + file LICENSE
NeedsCompilation:	no
Materials:	README, NEWS
CRAN checks:	LNPar results

Documentation:

Reference manual:

LNPar.html , LNPar.pdf

Downloads:

Package source:	LNPar_1.1.2.tar.gz
Windows binaries:	r-devel: LNPar_1.1.2.zip, r-release: LNPar_1.1.2.zip, r-oldrel: LNPar_1.1.2.zip
macOS binaries:	r-release (arm64): LNPar_1.1.2.tgz, r-oldrel (arm64): LNPar_1.1.2.tgz, r-release (x86_64): LNPar_1.1.2.tgz, r-oldrel (x86_64): LNPar_1.1.2.tgz
Old sources:	LNPar archive

Reverse dependencies:

Reverse imports:	lognGPD
Reverse suggests:	mvpd

Linking:

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