ConfZIC: Confidence Envelopes for Model Selection Criteria Based on Minimum ZIC

Narrow down the number of models to look at in model selection using the confidence envelopes based on the minimum ZIC (Generalized Information Criteria) values for regression and time series data. Functions involve the computation of multivariate normal-probabilities with covariance matrices based on minimum ZIC inverting the CDF of the minimum ZIC. It involves both the computation of singular and non-singular probabilities as described in Genz (1992) <[https:doi.org/10.2307/1390838]https:doi.org/10.2307/1390838>.

Version:	1.0.1
Depends:	R (≥ 3.5.0)
Imports:	cmna, stats, ltsa, MuMIn, mvtnorm, utils, tidytable, psych
Suggests:	knitr, rmarkdown, testthat (≥ 3.0.0)
Published:	2023-06-14
DOI:	10.32614/CRAN.package.ConfZIC
Author:	I.M.L. Nadeesha Jayaweera [aut, cre], A. Alex Trindade [ctb, aut]
Maintainer:	I.M.L. Nadeesha Jayaweera <njayaweera at wpi.edu>
License:	GPL-2
NeedsCompilation:	no
Citation:	ConfZIC citation info
CRAN checks:	ConfZIC results

Documentation:

Reference manual:	ConfZIC.pdf
Vignettes:	ConfZIC: An R package based on Confidence Envelope for minimum ZIC

Downloads:

Package source:	ConfZIC_1.0.1.tar.gz
Windows binaries:	r-devel: ConfZIC_1.0.1.zip, r-release: ConfZIC_1.0.1.zip, r-oldrel: ConfZIC_1.0.1.zip
macOS binaries:	r-release (arm64): ConfZIC_1.0.1.tgz, r-oldrel (arm64): ConfZIC_1.0.1.tgz, r-release (x86_64): ConfZIC_1.0.1.tgz, r-oldrel (x86_64): ConfZIC_1.0.1.tgz
Old sources:	ConfZIC archive

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