Function reference • weibulltools

Reliability Data Function for converting data into reliability data
`reliability_data()`	Reliability Data
MCS Data Functions for converting data into MCS data
`mcs_delay_data()`	MCS Delay Data
`mcs_mileage_data()`	MCS Mileage Data
Non-Parametric Failure Probabilities Functions for estimation and visualization of failure probabilities
`estimate_cdf()`	Estimation of Failure Probabilities
`estimate_cdf(<default>)`	Estimation of Failure Probabilities
`plot_prob()`	Probability Plotting Method for Univariate Lifetime Distributions
`plot_prob(<default>)`	Probability Plotting Method for Univariate Lifetime Distributions
Parametric Models Functions for the estimation and visualization of parametric lifetime distributions
`ml_estimation()`	ML Estimation for Parametric Lifetime Distributions
`ml_estimation(<default>)`	ML Estimation for Parametric Lifetime Distributions
`loglik_function()`	Log-Likelihood Function for Parametric Lifetime Distributions
`loglik_function(<default>)`	Log-Likelihood Function for Parametric Lifetime Distributions
`loglik_profiling()`	Log-Likelihood Profile Function for Parametric Lifetime Distributions with Threshold
`loglik_profiling(<default>)`	Log-Likelihood Profile Function for Parametric Lifetime Distributions with Threshold
`rank_regression()`	Rank Regression for Parametric Lifetime Distributions
`rank_regression(<default>)`	Rank Regression for Parametric Lifetime Distributions
`r_squared_profiling()`	R-Squared-Profile Function for Parametric Lifetime Distributions with Threshold
`r_squared_profiling(<default>)`	R-Squared-Profile Function for Parametric Lifetime Distributions with Threshold
`mixmod_em()`	Weibull Mixture Model Estimation using EM-Algorithm
`mixmod_em(<default>)`	Weibull Mixture Model Estimation using EM-Algorithm
`mixmod_regression()`	Mixture Model Identification using Segmented Regression
`mixmod_regression(<default>)`	Mixture Model Identification using Segmented Regression
`predict_prob()`	Prediction of Failure Probabilities for Parametric Lifetime Distributions
`predict_quantile()`	Prediction of Quantiles for Parametric Lifetime Distributions
`plot_mod()`	Add Estimated Population Line(s) to a Probability Plot
`plot_mod(<default>)`	Add Estimated Population Line to a Probability Plot
`plot_pop()`	Add Population Line(s) to an Existing Grid
Confidence Intervals Functions for the estimation and visualization of confidence intervals
`confint_betabinom()`	Beta Binomial Confidence Bounds for Quantiles and Probabilities
`confint_betabinom(<default>)`	Beta Binomial Confidence Bounds for Quantiles and Probabilities
`confint_fisher()`	Fisher's Confidence Bounds for Quantiles and Probabilities
`confint_fisher(<default>)`	Fisher's Confidence Bounds for Quantiles and Probabilities
`delta_method()`	Delta Method for Parametric Lifetime Distributions
`plot_conf()`	Add Confidence Region(s) for Quantiles and Probabilities
`plot_conf(<default>)`	Add Confidence Region(s) for Quantiles and Probabilities
Monte Carlo Simulation Functions for the simulation of delays and mileages as well as the adjustment of operating time
`dist_delay()`	Parameter Estimation of a Delay Distribution
`dist_delay(<default>)`	Parameter Estimation of a Delay Distribution
`mcs_delay()`	Adjustment of Operating Times by Delays using a Monte Carlo Approach
`mcs_delay(<default>)`	Adjustment of Operating Times by Delays using a Monte Carlo Approach
`dist_mileage()`	Parameter Estimation of an Annual Mileage Distribution
`dist_mileage(<default>)`	Parameter Estimation of an Annual Mileage Distribution
`mcs_mileage()`	Simulation of Unknown Covered Distances using a Monte Carlo Approach
`mcs_mileage(<default>)`	Simulation of Unknown Covered Distances using a Monte Carlo Approach
Data Sets Data sets used in the examples
`alloy`	Fatigue Life for Alloy T7989 Specimens
`shock`	Distance to Failure for Vehicle Shock Absorbers
`voltage`	High Voltage Stress Test for the Dielectric Insulation of Generator armature bars
`field_data`	Field Data
Deprecated The following functions are deprecated and will be removed in a future version of this package
`mr_method()`	Estimation of Failure Probabilities using Median Ranks
`johnson_method()`	Estimation of Failure Probabilities using Johnson's Method
`kaplan_method()`	Estimation of Failure Probabilities using the Kaplan-Meier Estimator
`nelson_method()`	Estimation of Failure Probabilities using the Nelson-Aalen Estimator
`plot_prob_mix()`	Probability Plot for Separated Mixture Models
`plot_mod_mix()`	Add Estimated Population Lines of a Separated Mixture Model to a Probability Plot
`dist_delay_register()`	Parameter Estimation of the Delay in Registration Distribution
`dist_delay_report()`	Parameter Estimation of the Delay in Report Distribution
`mcs_delays()`	Adjustment of Operating Times by Delays using a Monte Carlo Approach
`mcs_delay_register()`	Adjustment of Operating Times by Delays in Registration using a Monte Carlo Approach
`mcs_delay_report()`	Adjustment of Operating Times by Delays in Report using a Monte Carlo Approach

Reference

Reliability Data

MCS Data

Non-Parametric Failure Probabilities

Parametric Models

Confidence Intervals

Monte Carlo Simulation

Data Sets

Deprecated