WLinfer: Statistical Inference in Weighted Lindley Distribution

Estimate the parameters of weighted Lindley distribution, and provide some useful results like goodness of fit or confidence interval etc. Ghitany, M., Alqallaf, F., Al-Mutairi, D., Husain, H. (2011) <doi:10.1016/j.matcom.2010.11.005>. Hyoung-Moon Kim. and Yu-Hyeong Jang. (2021) <doi:10.1007/s42952-020-00097-y>. Wang, M., Wang, W. (2017) <doi:10.1080/03610918.2014.970696>.

Version: 1.2.0
Depends: R (≥ 3.6.0)
Imports: LindleyR, pracma, boot, nleqslv, stats, goftest, cubature, bbmle
Published: 2022-09-02
Author: Yu-Hyeong Jang, Sungbum Kim, Hyun-Ju Jung and Hyoung-Moon Kim
Maintainer: Sungbum Kim <kimsb9302 at gmail.com>
License: GPL-2
NeedsCompilation: no
CRAN checks: WLinfer results

Documentation:

Reference manual: WLinfer.pdf

Downloads:

Package source: WLinfer_1.2.0.tar.gz
Windows binaries: r-devel: WLinfer_1.2.0.zip, r-release: WLinfer_1.2.0.zip, r-oldrel: WLinfer_1.2.0.zip
macOS binaries: r-release (arm64): WLinfer_1.2.0.tgz, r-oldrel (arm64): WLinfer_1.2.0.tgz, r-release (x86_64): WLinfer_1.2.0.tgz, r-oldrel (x86_64): WLinfer_1.2.0.tgz
Old sources: WLinfer archive

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