The Power of Custom Hazards | The Three Functions | Level 1: Just the Hazard | Level 2: Add Analytical Cumulative Hazard | Level 3: Add Analytical Score Function | Complete Example: Makeham Distribution | Step 1: Derive the Mathematics | Step 2: Implement | Step 3: Test | Writing Custom Derivative Functions | Use Standard R Indexing | Return Correct Types | Handle Censoring | Performance Comparison | Real-World Example: Bathtub Curve | Summary | Next Steps
This package is considered a duplicate. The official version of this package is found at:https://queelius.r-universe.dev/flexhaz
Package: flexhaz 0.5.3
Alexander Towell
flexhaz: Dynamic Failure Rate Distributions for Survival Analysis
Flexible framework for specifying survival distributions through their hazard (failure rate) functions. Define arbitrary time-varying hazard functions to model complex failure patterns including bathtub curves, proportional hazards with covariates, and other non-standard hazard behaviors. Provides automatic computation of survival, CDF, PDF, quantiles, and sampling. Implements the likelihood model interface for maximum likelihood estimation with right-censored and left-censored survival data.
Authors:
flexhaz_0.5.3.tar.gz
flexhaz_0.5.3.zip(r-4.7-any)flexhaz_0.5.3.zip(r-4.6-any)
flexhaz_0.5.3.tar.gz(r-4.7-any)flexhaz_0.5.3.tar.gz(r-4.6-any)
flexhaz_0.5.3.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
flexhaz/json (API)
| # Install 'flexhaz' in R: |
| install.packages('flexhaz', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/queelius/flexhaz/issues
Pkgdown/docs site:https://queelius.github.io
Last updated from:d743d3b867. Checks:6 OK. Indexed: no.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel | OK | 118 | ||
| source / vignettes | OK | 560 | ||
| linux-release | OK | 118 | ||
| windows-devel | OK | 98 | ||
| windows-release | OK | 102 | ||
| wasm-release | OK | 242 |
Exports:assumptionscdfcum_hazdfr_distdfr_exponentialdfr_gompertzdfr_loglogisticdfr_weibullfithazardhess_loglikinv_cdfis_dfr_distis_likelihood_modelloglikparamsqqplot_residualssamplerscoresupsurv
Dependencies:algebraic.distalgebraic.mlebootgenericslikelihood.modelMASSmvtnormnumDerivR6
Creating Custom Distributions
Last update: 2026-03-02
Started: 2026-03-02
Custom Derivatives for Maximum Likelihood Estimation
Introduction | Setup | The Weibull Distribution | Simulating Data | Approach 1: Minimal — Just the Hazard Rate | Approach 2: Analytical Score + Analytical Hessian | Approach 3: Provide Score Only, Let numDeriv Handle the Hessian | Using Pre-Built Constructors | Computing Standard Errors | Distribution Reference | Next Steps
Last update: 2026-03-02
Started: 2026-03-02
Dynamic Failure Rate Distributions
Introduction | Why hazard-based parameterization? | Mathematical background | Getting Started | Using Built-in Distributions | Creating Custom Distributions | Distribution Methods | Hazard and cumulative hazard | Survival and CDF | PDF (Density) | Quantile function (inverse CDF) | Sampling | Overriding parameters | Likelihood Model Interface | Log-likelihood for survival data | Creating test data | Computing log-likelihood | Score function (gradient) | Hessian of log-likelihood | Maximum Likelihood Estimation | Working with censored data | Example: Weibull MLE | Custom Hazard Functions | Bathtub hazard | Time-covariate interaction | Integration with algebraic.dist | Model Diagnostics | Cox-Snell Residuals | Martingale Residuals | Summary | Next Steps
Last update: 2026-03-02
Started: 2026-03-02
flexhaz: Hazard-First Survival Modeling
The Problem | The Idea | Installation | Your First Distribution | Get Distribution Functions | Generate Samples | Fitting to Data | Maximum Likelihood Estimation | Model Diagnostics | Working with Censored Data | Right-Censoring | Left-Censoring | Custom Column Names | Beyond Exponential: Weibull | The Real Power: Custom Hazards | Define a bathtub hazard | Plot the hazard curve | Plot the survival curve | Simulate data and fit via MLE | Inspect the fit | Residual diagnostics | Built-in Distributions | Key Functions | Where to Go Next
Last update: 2026-03-02
Started: 2026-03-02
Reliability Engineering Applications
Introduction | Case Study 1: Capacitor Lifetime Analysis | The Data | Model Comparison | Model Selection | Interpretation | Case Study 2: B-Life Calculations | Visual Representation | Case Study 3: Warranty Analysis | Case Study 4: Maintenance Scheduling | Case Study 5: Competing Failure Modes | Model Diagnostics | Summary | Best Practices
Last update: 2026-03-02
Started: 2026-03-02
