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).
Version: | 2.1.4.1 |
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 suggests: | extraDistr |
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