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 <[email protected]> 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 = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

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

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

2.84 score 69 scripts 143 downloads 29 mentions 20 exports 3 dependencies

Last updated 9 years agofrom:0521438400. Checks:OK: 2. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 11 2024
R-4.5-linuxOKNov 11 2024

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

Dependencies:latticeMatrixsurvival