SMRD was created to estimate various reliability measures for failure data with:
Failure times with multiple failure modes
Censored failure times (right, left, and interval censoring)
Truncated failure times (right, left, and interval truncation)
Failure times with explanatory variables (normal, Weibull, and logistic regression)
Repeated measures degradation data
Repairable system failures (recurring events)
Physical degradation
Failure times with prior information (Bayesian reliability)
Reliability growth test data
Reliability test simulations
SMRD was built for use with Markdown documents and presentations
Allows for a seamless workflow to create papers & presentations incredibly fast
The package can be used to create high-quality plots with a single line of code
Turn results into $\LaTeX$ tables instantly (with the xtable, stargazer, and pander packages)
Easily create interactive content (with the shiny, htmlwidgets, and ggvis packages)
Over 120 data sets have been built into the package, see list using data(package = "SMRD")
SMRD was created to estimate various reliability measures for failure data with:
Failure times with multiple failure modes
Censored failure times (right, left, and interval censoring)
Truncated failure times (right, left, and interval truncation)
Failure times with explanatory variables (normal, Weibull, and logistic regression)
Repeated measures degradation data
Repairable system failures (recurring events)
Physical degradation
Failure times with prior information (Bayesian reliability)
Reliability growth test data
Reliability test simulations
SMRD was built for use with Markdown documents and presentations
Allows for a seamless workflow to create papers & presentations incredibly fast
The package can be used to create high-quality plots with a single line of code
Turn results into $\LaTeX$ tables instantly (with the xtable, stargazer, and pander packages)
Easily create interactive content (with the shiny, htmlwidgets, and ggvis packages)
Over 120 data sets have been built into the package, see list using data(package = "SMRD")
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