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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The learning curve is typically longer than with a epicallc user 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.

Nil Conflict of Interest: But for developing countries, the scenario did not change as expected because of the very high cost of the statistical packages. I understand, my point is merely that I eipcalc it would be considered both more polite and in general more accurate to inquire with the package maintainer first on matters like these.

Received Jan 24; Accepted Feb 3. R is a relatively new and freely available programing language and software environment for statistical computing and graphics. R software introduction for stat R is an integrated suite of software facilities for data manipulation, calculation and graphical display. If this question can be reworded to fit the rules in the help centerplease edit the question.

Epicalc Package Epicalc, an add-on package of R enables R to deal more easily with epidemiological data. It requires some effort to find which package contains the statistical techniques that we require. National Center for Biotechnology InformationU.


Install epicalc in R

Khan Amir Maroof, Room No. As the dataset is usually large in epidemiology, calculating even simple epicacl like mean or standard deviation is quite cumbersome to be done manually.

By using our site, you acknowledge that you have read and understand fpicalc Cookie PolicyPrivacy Policyand our Terms of Service. Author information Article notes Copyright and License information Disclaimer. One of R’s strengths is the ease with which well-designed publication-quality plots can be produced, including mathematical symbols and formulae where needed.

This article has been cited by other articles in PMC. One can write their own code to build their own statistical tools.

Inwindows-based version, which was menu driven, was launched and it became very popular among the medical researchers. R is highly extensible through the use of usersubmitted packages for specific functions or specific areas of study. CLI is thus intimidating for beginners.

The steep learning of R is a serious disadvantage which if eased by eipcalc introduction of menu driven R can make it more popular among the non-mathematicians dealing with epidemiological data.

Package: r-cran-epicalc (

The other limitation is that, being an open source software, hackers can easily know about the weaknesses or loopholes of the software more easily than closed-source software and so it is more prone to bug attacks.

Last accessed on Apr 4].

Support Center Support Center. In R, a statistical analysis is normally done as a series of steps, with intermediate results being stored in objects. This seems like a well developed and useful packages, so why has it been removed? Epjcalc is an open-access article distributed under the terms of the Creative Eipcalc Attribution-Noncommercial-Share Alike 3.


It was first launched as a Disk Operating System DOS based version, which was command driven and difficult to learn by the medical researchers.

R-software: A Newer Tool in Epidemiological Data Analysis

R can be extended via packages. Go to the link: The R Project for statistical computing. Epi Info is also not suitable for data manipulation for longitudinal studies and its regression analysis facilities cannot cope with repeated measures and multilevel modeling.

Analyzing epidemiological data has always been a matter of concern especially for those researchers who epicxlc a background of biological sciences and not of mathematics. Why would you think that we’d know better than the maintainer? It is important to use the normal precautions that is taken while downloading data on our hard disk.

With the introduction of softwares for statistical computations, things changed and data analysis came to be thought of something within the realm of possibility by the medical researchers.

The main advantage of using this package is that it gives rise to display which is more understandable by most epidemiologists. Please review our privacy policy. The message says it was archived at the request of the maintainer. It looks most of the material from epicalc has been epicacl into epiDisplay.

Why was package ‘epicalc’ removed from CRAN?

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