The 'epitools' R Package
"epitools (epidemiology tools) is an R package for epidemiologic computing and graphics."
- Read more about The 'epitools' R Package
- Log in to post comments
- 6107 reads
You can use the category filters given on the right sidebar to narrow down your search results.
"epitools (epidemiology tools) is an R package for epidemiologic computing and graphics."
The R-package ’surveillance’ is a framework for the development and the evaluation of outbreak detection algorithms in univariate and multivariate routine collected public health surveillance data. Hence, potential users are biostatisticians, epidemiologists and others working in applied infectious disease epidemiology. However, applications could just as well originate from environmetrics, reliability engineering, econometrics or social sciences.
The Epi package is mainly focused on "classical" chronic disease epidemiology. The package has grown out of the course Statistical Practice in Epidemiology using R.
This package contains elementary tools for analysis of common epidemiological problems, ranging from sample size estimation, through 2x2 contingency table analysis and basic measures of agreement (kappa, sensitivity/specificity).
Appropriate print and summary statements are also written to facilitate interpretation wherever possible.
This package is a work in progress, so any comments or suggestions would be appreciated. Source code is commented throughout to facilitate modification. The target audience includes graduate students in various epi/biostatistics courses.
Functions making R easy for epidemiological calculation.
Datasets from Dbase (.dbf), Stata (.dta), SPSS(.sav), EpiInfo(.rec) and Comma separated value (.csv) formats as well as R data frames can be processed to do make several epidemiological calculations.
A package for analysing epidemiological data. Contains functions for directly and indirectly adjusting measures of disease frequency, quantifying measures of association on the basis of single or multiple strata of count data presented in a contingency table, and computing confidence intervals around incidence risk and incidence rate estimates. Miscellaneous functions for use in meta-analysis, diagnostic test interpretation, and sample size calculations.
"According to the homepage: "After nearly 10 years, the openCDMS system..."
posted by holger on openCDMS 6 years 9 months
"For details about the fork see these discussions FreeHealth 7 years 3 months
"Glucosio wins award from Black Duck for top new OSS projects in 2015!
..."
posted by demski on Glucosio 8 years 2 months
"Free D Path in 2014 won an award in the category of ‘best use of IT to..."
posted by demski on Free D Path 9 years 3 months
"AuShadha Open Source EMR has moved to Django 1.7.x
..."
posted by dreaswar on AuShadha 9 years 6 months