STAND: Statistical Analysis of Non-Detects

Provides functions for the analysis of occupational and environmental data with non-detects. Maximum likelihood (ML) methods for censored log-normal data and non-parametric methods based on the product limit estimate (PLE) for left censored data are used to calculate all of the statistics recommended by the American Industrial Hygiene Association (AIHA) for the complete data case. Functions for the analysis of complete samples using exact methods are also provided for the lognormal model. Revised from 2007-11-05 'survfit~1'.

Version:	2.0
Depends:	survival
Published:	2015-09-25
DOI:	10.32614/CRAN.package.STAND
Author:	E. L. Frome and D. P. Frome
Maintainer:	E. P. Adams <eric.adams at orau.org>
License:	GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL:	http://www.csm.ornl.gov/esh/statoed/
NeedsCompilation:	no
CRAN checks:	STAND results

Documentation:

Reference manual:

STAND.html , STAND.pdf

Downloads:

Package source:	STAND_2.0.tar.gz
Windows binaries:	r-devel: STAND_2.0.zip, r-release: STAND_2.0.zip, r-oldrel: STAND_2.0.zip
macOS binaries:	r-release (arm64): STAND_2.0.tgz, r-oldrel (arm64): STAND_2.0.tgz, r-release (x86_64): STAND_2.0.tgz, r-oldrel (x86_64): STAND_2.0.tgz

Linking:

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