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:
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')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 9 years agofrom:0521438400. Checks:OK: 2. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Dec 11 2024 |
R-4.5-linux | OK | Dec 11 2024 |
Exports:efclnpefraction.exactefraction.mlicfiticplotictestIH.summarykmmslnorm.mlnpower.lnormnptlpercentile.exactpercentile.mlpercentile.pleple.plotpleicfplekmplendqq.lnormreadss