[R-pkgs] Announcement weibulltools package

[Hensel, Tim-Gunnar]

We are pleased to announce that the initial release of the weibulltools package is now available on CRAN.
Unlike other R packages for survival analysis, the weibulltools package focuses on reliability methods based on the Weibull analysis. In addition to that, the package can be integrated into (partly) automated data analysis processes and even can be connected to big data systems.
Key features
The weibulltools package contains methods for examining bench test or field data using the well-known Weibull analysis and provides the following features:

  *   Monte Carlo simulation for estimating the life span of products that have not failed yet, taking account of registering and reporting delays (If the products looked upon are vehicles, the covered mileage can be estimated as well.)
  *   Methods for probability estimation within samples that contain failures as well as censored data
  *   Methods for estimating the parameters of lifetime distributions as well as the confidence intervals of quantiles and probabilities
  *   Segmented regression for dividing data into subgroups automatically
  *   Methods for interactive visualization of the edited data using plotly

Getting started
The package can be downloaded and installed from CRAN via:
install.packages("weibulltools")

Examples and further information
Examples and further information can be found in the package documentation on CRAN, see
https://cran.r-project.org/web/packages/weibulltools/,
or by typing ?weibulltools (more specifically: ?weibulltools::functionname) when using R.

Any weibulltools-related feedback, reporting of issues and comments to tim-gunnar.hensel using tu-berlin.de<mailto:tim-gunnar.hensel using tu-berlin.de> are welcome!

------------------------------------------------------------------------------------------------------------------------------------------
Tim-Gunnar Hensel, M. Sc.
Wissenschaftlicher Mitarbeiter
Research Assistant

Technische Universit�t Berlin
Fakult�t V Verkehrs- und Maschinensysteme
Institut f�r Werkzeugmaschinen und Fabrikbetrieb
Fachgebiet Qualit�tswissenschaft

Mechanical Engineering and Transport Systems
Institute for Machine Tools and Factory Management
Chair of Quality Science

PTZ 3
Pascalstra�e 8-9, 10587 Berlin
Telefon: +49 (0)30 314-24055
Telefax: +49 (0)30 314-79685
tim-gunnar.hensel using tu-berlin.de<mailto:tim-gunnar.hensel using tu-berlin.de>

www.qw.tu-berlin.de<http://www.qw.tu-berlin.de/>

Erweitern Sie spielerisch Ihr Wissen im Qualit�tsmanagement!
Spielen Sie unsere App "Quality Quiz": App Store<https://itunes.apple.com/app/id964773723> | Google Play<https://play.google.com/store/apps/details?id=de.tu_berlin.tuquiz&hl=de>


	[[alternative HTML version deleted]]