hoa: Higher Order Likelihood Inference

Performs likelihood-based inference for a wide range of regression models. Provides higher-order approximations for inference based on extensions of saddlepoint type arguments as discussed in the book Applied Asymptotics: Case Studies in Small-Sample Statistics by Brazzale, Davison, and Reid (2007).

Depends: R (≥ 3.0.0)
Imports: graphics, statmod, stats, survival, utils
Suggests: boot, csampling
Published: 2019-02-16
Author: R port by Alessandra R. Brazzale, following earlier work by Douglas Bates. The function tem is based on work by Anthony Davison
Maintainer: Alex-Antoine Fortin <alex at fortin.bio>
License: GPL-2 | GPL-3 | file LICENCE [expanded from: GPL (≥ 2) | file LICENCE]
URL: https://www.r-project.org, http://statwww.epfl.ch/AA/
NeedsCompilation: no
Citation: hoa citation info
CRAN checks: hoa results


Reference manual: hoa.pdf
Vignettes: hoa: An R Package Bundle for Higher Order Likelihood Inference


Package source: hoa_2.1.4.1.tar.gz
Windows binaries: r-devel: hoa_2.1.4.1.zip, r-release: hoa_2.1.4.1.zip, r-oldrel: hoa_2.1.4.1.zip
macOS binaries: r-release (arm64): hoa_2.1.4.1.tgz, r-oldrel (arm64): hoa_2.1.4.1.tgz, r-release (x86_64): hoa_2.1.4.1.tgz, r-oldrel (x86_64): hoa_2.1.4.1.tgz
Old sources: hoa archive

Reverse dependencies:

Reverse suggests: extraDistr


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