Learn R Programming

STAND (version 2.0)

Statistical Analysis of Non-Detects

Description

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'.

Copy Link

Version

Install

install.packages('STAND')

Monthly Downloads

180

Version

2.0

License

GPL (>= 2)

Maintainer

E P Adams

Last Published

September 25th, 2015

Functions in STAND (2.0)

percentile.ple

Calculate Nonparametric Estimate of Xp and Confidence Limits
IH.summary

Summary Statistic for Samples With Non-detects
plekm

Product Limit Estimate for Non-detects Using Kaplan-Meier
icfit

Calculates the Self-Consistent Estimate of Survival from Interval Censored Data
ple.plot

Plot PLE With Confidence Limits
lnorm.ml

ML Estimation for Lognormal Data with Non-detects
qq.lnorm

Quantile-Quantile Plot for Censored Lognormal Data
efraction.ml

Calculate ML Estimate of Exceedance Fraction and Confidence Limits
About-STAND

Statistical Analysis of Non-detect Data
percentile.ml

Calculate ML Estimate of Xp and Confidence Limits
cansdata

Container Data Used To Evaluate Beryllium Surface Contamination
aihand

Industrial Hygiene Air Monitoring Data
SESdata

Samples from Elevated Surfaces of a Smelter
icplot

Plots Survival Functions
ictest

Performs Tests for Interval Censored Data
kmms

Kaplan-Meier (KM) Mean and Standard Error
readss

Read Analyze Data From ASCII File
efclnp

Nonparametric Confidence Limits for the Exceedance Fraction
beTWA

TWA Beryllium Exposure Data
plend

Compute Product Limit Estimate for Non-detects
pleicf

Product Limit Estimate for Interval Censored Data
percentile.exact

Estimate of Xp and Exact Confidence Limits for Normal/Lognormal
npower.lnorm

Sample Size and Power For Lognormal Distribution
efraction.exact

Exceedance Fraction and Exact Confidence Limits
filmbadge

Quarterly Film Badge Data
nptl

Nonparametric Upper Tolerance Limit