Package: STAND 2.0

E. P. Adams

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'.

Authors:E. L. Frome <fromeEL@ornl.gov> and D. P. Frome

STAND_2.0.tar.gz
STAND_2.0.tar.gz(r-4.5-noble)STAND_2.0.tar.gz(r-4.4-noble)
STAND_2.0.tgz(r-4.4-emscripten)STAND_2.0.tgz(r-4.3-emscripten)
STAND.pdf |STAND.html✨
STAND/json (API)

# Install 'STAND' in R:
install.packages('STAND', repos = 'https://cloud.r-project.org')
Datasets:
  • SESdata - Samples from Elevated Surfaces of a Smelter
  • aihand - Industrial Hygiene Air Monitoring Data
  • beTWA - TWA Beryllium Exposure Data
  • cansdata - Container Data Used To Evaluate Beryllium Surface Contamination
  • filmbadge - Quarterly Film Badge Data

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

2.00 score 129 downloads 29 mentions 20 exports 3 dependencies

Last updated 10 years agofrom:0521438400. Checks:3 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKMar 11 2025
R-4.5-linuxOKMar 11 2025
R-4.4-linuxOKMar 11 2025

Exports:efclnpefraction.exactefraction.mlicfiticplotictestIH.summarykmmslnorm.mlnpower.lnormnptlpercentile.exactpercentile.mlpercentile.pleple.plotpleicfplekmplendqq.lnormreadss

Dependencies:latticeMatrixsurvival

Citation

To cite package ‘STAND’ in publications use:

Frome EL, Frome DP (2015). STAND: Statistical Analysis of Non-Detects. R package version 2.0, https://CRAN.R-project.org/package=STAND.

ATTENTION: This citation information has been auto-generated from the package DESCRIPTION file and may need manual editing, see ‘help("citation")’.

Corresponding BibTeX entry: 

  @Manual{,
    title = {STAND: Statistical Analysis of Non-Detects},
    author = {E. L. Frome and D. P. Frome},
    year = {2015},
    note = {R package version 2.0},
    url = {https://CRAN.R-project.org/package=STAND},
  }