It looks most of the material from epicalc has been moved into epiDisplay. Full ‘ epicalc’ package with data management functions is available at the author’s. Suggests Description Functions making R easy for epidemiological calculation. License GPL (>= 2) URL Epidemiological calculator. Contribute to cran/epicalc development by creating an account on GitHub.

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Nil Conflict of Interest: It requires some effort to find which package contains the statistical techniques that we require. R is an environment that can handle several datasets simultaneously. Received Jan 24; Accepted Feb 3. This seems like a well developed and useful packages, so why has it been removed?

Why would you think that we’d know better than the maintainer? As the dataset is epicald large in epidemiology, epicac even simple statistics like mean or standard deviation is quite cumbersome to be done manually.

It looks most of the material from epicalc has been moved into epiDisplay. Background Analyzing epidemiological data has always been a matter of concern especially for those researchers who have a background of biological sciences and not of mathematics.

r-cran-epicalc package : Ubuntu

Stack Overflow works best with JavaScript enabled. Being free of cost, it is surely a boon for researchers in developing countries and resource scarce institutions The quality of this software in terms of handling large datasets, having hundreds of functions with eplcalc increasing number of add on packages and the neat outputs is also an advantage. On the other hand, it has the potential to help young epidemiologists to learn the key terms and concepts based on numerical epicalv graphical results of the analysis.


An introduction to R.

CRAN does not have Windows systems and therefore cannot check for viruses. This article has been cited by other articles in PMC. Please review our privacy policy. In R, a statistical analysis is normally done as a series of steps, with epiicalc results being stored in objects. R is highly extensible through the use of usersubmitted packages for specific functions or specific areas of study. It includes An effective data handling and storage facility.

On one hand, it assists data analysts in data exploration and management. National Center for Biotechnology InformationU. fpicalc

Index of /ubuntu/archivos/pool/universe/r/r-cran-epicalc

It is important to use the normal precautions that is taken while downloading data on our hard disk. Formerly available versions can be obtained from the archive. R can be extended via packages.

The message says it was archived at the request of the maintainer. Apart from the packages which automatically come with R; there are more than packages available at CRAN. But for developing countries, the scenario did not change as expected because of the very high cost of the statistical packages. But no further explanation is given. Package for data exploration and result presentation. The other limitation is that, being an open source software, hackers can easily know about the weaknesses or loopholes of the software more easily d closed-source software and epica,c it is more prone to bug attacks.

Full ‘epicalc’ package with data management functions is available at the author’s repository. It was first launched as a Disk Operating System DOS based version, which was command driven and difficult to learn by the elicalc researchers.


The learning curve is typically longer than with a graphical spicalc interface GUIalthough it is recognized that the effort is profitable and leads to better practice finer understanding of the analysis; command easily saved and replayed. Author information Article notes Copyright and License information Disclaimer.

Why not ask them? Indian J Community Med. Why was package ‘epicalc’ removed from CRAN?

There is an important difference between R and the other main statistical systems. R is not a typical statistics system epialc an environment within which statistical techniques are implemented. R is an integrated suite of software facilities for data manipulation, calculation and graphical display. One can write their own code to build their own statistical tools.

R-software: A Newer Tool in Epidemiological Data Analysis

The R Project for statistical computing. For many, even finding a statistician becomes difficult in their setting. Epicalc, written by Virasakdi Chongsuvivatwong of Prince of Songkla University, Hat Yai, Thailand has been well accepted by members of the R core-team and the package is downloadable from CRAN which spicalc mirrored by 69 academic institutes in 29 countries. R is also a programming language with an extensive set of built-in functions.