nlreg: Higher Order Inference for Nonlinear Heteroscedastic Models

Likelihood inference based on higher order approximations for nonlinear models with possibly non constant variance.

Version: 1.2-2.2
Depends: R (≥ 3.5.0), statmod, survival
Suggests: boot, cond, csampling, marg
Published: 2019-01-30
DOI: 10.32614/CRAN.package.nlreg
Author: S original by Alessandra R. Brazzale and Ruggero Bellio. R port by Alessandra R. Brazzale, following earlier work by Douglas Bates.
Maintainer: Alessandra R. Brazzale <alessandra.brazzale at>
License: GPL-2 | GPL-3 | file LICENCE [expanded from: GPL (≥ 2) | file LICENCE]
NeedsCompilation: no
Citation: nlreg citation info
In views: ChemPhys
CRAN checks: nlreg results


Reference manual: nlreg.pdf


Package source: nlreg_1.2-2.2.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): nlreg_1.2-2.2.tgz, r-oldrel (arm64): nlreg_1.2-2.2.tgz, r-release (x86_64): nlreg_1.2-2.2.tgz, r-oldrel (x86_64): nlreg_1.2-2.2.tgz
Old sources: nlreg archive

Reverse dependencies:

Reverse suggests: cond, marg


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