weibulltools v2.0.0

Breaking Changes

• Package now depends on R(>= 3.5.0)

Non-Parametric Failure Probabilities

• mr_method(): Deprecated, use estimate_cdf() instead. Renamed output column characteristic with x. Set default value for id to NULL.
• johnson_method(): Deprecated, use estimate_cdf() instead. Renamed output column characteristic with x. Set default value for id to NULL.
• kaplan_method(): Deprecated, use estimate_cdf() instead. Renamed output column characteristic with x. Set default value for id to NULL.
• nelson_method(): Deprecated, use estimate_cdf() instead. Renamed output column characteristic with x. Set default value for id to NULL.
• plot_prob.default() (former plot_prob()): Renamed event with status.
• plot_prob_mix(): Deprecated, use plot_prob() instead. Removed default value NULL for argument mix_output. Renamed event with status.

Parametric Models

• ml_estimation.default() (former ml_estimation()): Renamed event with status. Removed details. Changed names and contents of list elements in output. See ?ml_estimation.
• loglik_function: Renamed event with status. Renamed pars with dist_params.
• rank_regression.default() (former rank_regression()): Renamed event with status. Removed details. Changed names and contents of list elements in output. See ?rank_regression.
• mixmod_em.default() (former mixmod_em()): Renamed event with status. Removed post.
• mixmod_regression.default() (former mixmod_regression()): Renamed event with status. Added arguments k and control, which provide finer control over the segmentation process. Expect default setting to provide other results than in prior versions.
• predict_prob(): Renamed loc_sc_params with dist_params.
• predict_quantile(): Renamed loc_sc_params with dist_params.
• plot_mod.default() (former plot_mod()): Renamed event with status. Renamed loc_sc_params with dist_params. Removed y.
• plot_mod_mix(): Deprecated, use plot_mod() instead. Renamed event with status.
• plot_pop(): Added argument tol to restrict the range of failure probabilities. Removed argument color. Renamed argument params to dist_params_tbl, which only supports location and scale parameters (also for distribution = "weibull"). Changed behavior of dist_params_tbl: A tibble is now recommended instead of a vector.

Confidence Intervals

• confint_betabinom.default() (former confint_betabinom()): Renamed event with status. Renamed loc_sc_params with dist_params. Added argument b_lives which allows the user to specify probabilities p for B_p-lives to be considered.
• confint_fisher.default() (former confint_fisher()): Renamed event with status. Renamed loc_sc_params with dist_params. Renamed loc_sc_varcov with dist_varcov. Added argument b_lives which allows the user to specify probabilities p for B_p-lives to be considered.
• delta_method(): Renamed loc_sc_params with dist_params. Renamed loc_sc_varcov with dist_varcov.
• plot_conf.default() (former plot_conf()): Switched position of arguments direction and distribution.

Monte Carlo Simulation

• dist_delay_register(): Deprecated, use dist_delay() instead.
• dist_delay_report(): Deprecated, use dist_delay() instead.
• mcs_delay_register(): Deprecated, use mcs_delay() instead. Renamed x with time. Renamed event with status. Removed seed. Removed int_seed from output list.
• mcs_delay_report(): Deprecated, use mcs_delay() instead. Renamed x with time. Renamed event with status. Removed seed. Removed int_seed from output list.
• mcs_delays(): Deprecated, use mcs_delay() instead. Renamed x with time. Renamed event with status. Removed seed. Removed int_seed from output list.
• dist_mileage(): Removed event. Renamed x with time. Switched position of arguments time and mileage.
• mcs_mileage(): Removed event. Renamed x with time. Switched position of arguments time and mileage.

New Features

• Added support for ggplot2 in all plot functions. Plot method can be selected in plot_prob() or plot_pop() via argument plot_method.
• Added reliability_data(): Create consistent reliability data.
• Added estimate_cdf(): Unite functionality of mr_method(), johnson_method(), kaplan_method() and nelson_method(). Added option ties.method for method = "mr", which specifies how ties should be treated.
• Support of multiple methods in estimate_cdf() and all functions that depend on the cdf_estimation (rank_regression(), plot_prob(), plot_mod(), plot_conf(), mixmod_regression()).
• plot_prob() and plot_mod() are able to handle mixture models.
• mixmod_regression() is now more flexible. Argument k can be used to control number of subgroups or to determine them in an automatic fashion. Argument control provides additional control over the segmentation procedure.
• Added print.wt_rank_regression(), print.wt_ml_estimation(), print.wt_model_estimation(), print.wt_model_estimation_list(), print.wt_mixmod_regression() and print.wt_mixmod_regression_list().
• Added vcov.wt_model_estimation().
• Added dist_delay(): Generalizes the distribution-specific modeling of delays.
• Added mcs_delay(): Generalizes the adjustment of operating times by delays and supports multiple delays at once.
• Added lifecycle badges

Introduction of S3 interface

• rank_regression() is now an S3 generic. rank_regression() becomes rank_regression.default(). Added rank_regression.wt_cdf_estimation().
• plot_prob() is now an S3 generic. plot_prob() becomes plot_prob.default(). Added plot_prob.wt_cdf_estimation() and plot_prob.wt_model().
• plot_mod() is now an S3 generic. plot_mod() becomes plot_mod.default(). Added plot_mod.wt_model().
• plot_conf() is now an S3 generic. plot_conf() becomes plot_conf.default(). Added plot_conf.wt_confint().
• plot_pop(): Added support for multiple population lines and comparison of two- and three-parametric distributions.

Documentation improvements

• Revised README.
• Revised vignettes.
• Capitalized parameter documentation.

Lifecycle changes

Deprecated

• dist_delay_register() and dist_delay_report(): Use dist_delay() instead.
• mcs_delay_register(), mcs_delay_report() and mcs_delays(): Use mcs_delay() instead.
• mr_method(), johnson_method(), kaplan_method() and nelson_method(): Use estimate_cdf() instead.
• plot_prob_mix(): Use plot_prob() instead.
• plot_mod_mix(): Use plot_mod() instead.

Removed

• calculate_ranks.
• mixture_em_cpp.
• plot_layout.

Minor improvements and bug fixes

• Fixed bug inside plot_mod_mix() for the case of no mixture distribution.
• Fixed bug inside confint_betabinom(): many cases near one -> unique().
• Fixed bug inside mr_method(): assigning a rank for the same lifetime.
• Fixed bug inside mixmod_regression: call to segmented::segmented.lm() was incorrect.
• Added trace type "scatter" and scatter mode "markers" to plotly plots.
• delta_method(), r_squared_profiling() and loglik_profiling() were vectorized.

weibulltools v1.0.1

• Fixed installation error when using clang compiler

weibulltools 1.0.0

Prerequisite for Package Usage:

• Since RcppArmadillo is used, the R version should be at least 3.3.0 (listed under Depends in DESCRIPTION file)

Changes

• Vignettes for non-parametric probability estimation, parameter estimation using Median-Rank Regression and Maximum-Likelihood and mixture model estimation are provided.
• Argument y in functions plot_prob_mix() and plot_mod_mix() is deprecated and not used anymore.
• Argument reg_output in functions plot_prob_mix() and plot_mod_mix() is deprecated; use mix_output instead.
• Function plot_mod_mix() was revised and updated in the way that the obtained results of the function mixmod_em() can be visualized.
• Function plot_prob_mix() was revised and updated in the way that the obtained results of the function mixmod_em() can be visualized.
• Implementation of EM-Algorithm using Newton-Raphson. The algorithm is written in c++ (mixture_em_cpp()) and is called in mixmod_em().
• New method for the computation of Fisher’s Confidence Bounds regarding probabilities is used. These method is called “z-Procedure” and is more appropriate to manage the bend-back behavior. Therefore an adjustment of functions delta_method() and confint_fisher() was made.
• Implementation of log-location-scale models with threshold parameter like three-parametric Weibull (“weibull3”), three-parametric lognormal (“lognormal3”) and three-parametric loglogistic (“loglogistic3”).
• Implementation of location-scale models like smallest extreme value (“sev”), normal (“normal”) and logistic (“logistic”).
• Implementation of Log-Likelihood Profiling for three-parametric models in function loglik_profiling(). In general this function is used inside ml_estimation() for the purpose of estimating threshold parameter of three-parametric models.
• Implementation of R-Squared Profiling for three-parametric models in function r_squared_profiling(). In general this function is used inside rank_regression() for the purpose of estimating threshold parameter of three-parametric models.
• Implementation of Log-Likelihood Function for all implemented models in function loglik_function(). In general this function is used inside ml_estimation() for the purpose of estimating the variance-covariance matrix of location-scale models “sev”, “normal” and “logistic”. The function is also used to estimate the variance-covariance matrix of log-location-scale models with a threshold parameter, i.e. “weibull3”, “lognormal3” and “loglogistic3”.
• new argument in function ml_estimation(): wts for case weights.