Package index • BetaDanish

Distribution functions

Core d/p/q/r/h functions for the Beta-Danish distribution

dbetadanish() pbetadanish() qbetadanish() rbetadanish() sbetadanish() hbetadanish(): The Beta-Danish Distribution

Maximum likelihood estimation

fit_betadanish(): Fit the Beta-Danish Distribution to Survival Data
gof_betadanish(): Goodness-of-Fit Statistics for Beta-Danish Models
compare_models(): Compare Nested Beta-Danish Models
compare_distributions(): Compare Beta-Danish with Standard Distributions

Bayesian estimation

bayes_betadanish(): Bayesian Estimation for the Beta-Danish Distribution

AFT regression

fit_bd_aft(): Fit Beta-Danish AFT Regression Model

Cure models

fit_bd_cure(): Fit Beta-Danish Cure Models
simulate_bd_cure_data(): Simulate Beta-Danish Cure Data

Competing risks

fit_bd_competing(): Fit a Beta-Danish Competing Risks Model
cif_betadanish(): Cumulative Incidence Function
cif_compare(): Compare Model-Based CIF to the Aalen-Johansen Estimator

Structural properties

bd_entropy_shannon() bd_entropy_renyi() bd_entropy_tsallis(): Entropies of the Beta-Danish Distribution
bd_order_stat_pdf(): Density of the r-th Order Statistic

Diagnostics and plots

plot(<betadanish>): Plot Diagnostics for Beta-Danish Fit
plot(<bd_aft>) plot(<bd_cure>): Cox-Snell Residual Plot for AFT and Cure Fits
plot(<bd_bayes>): Diagnostic Plots for a Bayesian Fit

S3 methods

summary(<betadanish>): Summary Method for Beta-Danish Fit
print(<betadanish>): Print Method for Beta-Danish Fit
print(<summary.betadanish>): Print Summary Method for Beta-Danish Fit
coef(<betadanish>): Extract Coefficients
vcov(<betadanish>): Extract Variance-Covariance Matrix
logLik(<betadanish>): Extract Log-Likelihood

Reports and pipelines

analyze_betadanish(): Comprehensive Beta-Danish Analysis Pipeline
report_betadanish() print(<betadanish_report>): Create a Compact Report from a Beta-Danish Model Fit
read_survival_data(): Read and Prepare Survival Data
simulate_bd_data(): Simulate Data from the Beta-Danish Distribution

Datasets

remission: Bladder Cancer Remission Times
carbon_fibres: Breaking Stress of Carbon Fibres
transplant: Bone Marrow Transplant Survival
aarset: Aarset Device Failure Times
leukemia: Acute Myelogenous Leukemia Survival
melanoma: Malignant Melanoma Survival After Surgery
guinea_pig: Guinea Pig Survival Times

Added in 0.3.0

bd_analyze_csv() print(<bd_analysis>) summary(<bd_analysis>) print(<summary.bd_analysis>) plot(<bd_analysis>): Analyse Survival Data Straight from a CSV File
bd_lorenz() bd_bonferroni(): Lorenz and Bonferroni Curves
bd_conditional_moment(): Conditional Moments
bd_csv_template(): Write a Skeleton CSV for BetaDanish
bd_entropy_shannon() bd_entropy_renyi() bd_entropy_tsallis(): Entropies of the Beta-Danish Distribution
bd_hazard_shape() print(<bd_shape>): Hazard Rate Shape and the Glaser Diagnostic
bd_identified_coef() print(<bd_identified>): Coefficients in the Identified Parametrisation
bd_incomplete_moment(): Incomplete Moments
bd_mean_deviation(): Mean Deviations
bd_moment_summary(): Summary Moments: Mean, Variance, Skewness and Kurtosis
bd_moments(): Raw Moments of the Beta-Danish Distribution
bd_mrl() bd_rmrl(): Mean Residual Life and Reversed Mean Residual Life
bd_order_stat_cdf() bd_order_stat_moments(): Order Statistic Distribution and Moments
bd_profile_ci() print(<bd_profile>): Profile Likelihood Confidence Interval
bd_pwm(): Probability Weighted Moments
bd_stress_strength(): Stress-Strength Reliability
bd_tail_index(): Tail Index of the Beta-Danish Distribution
bd_wald_ci(): Log-Scale Wald Confidence Intervals
ded() ped() qed() red() sed() hed(): The Exponentiated Danish Distribution
dbetadanish() pbetadanish() qbetadanish() rbetadanish() sbetadanish() hbetadanish(): The Beta-Danish Distribution

Simulation and visualization

bd_profile_plot(): Plot a Profile Likelihood
bd_simulation_competing(): Finite-Sample Simulation Study for Competing Risks
bd_simulation_cure(): Finite-Sample Simulation Study for the Cure Model
bd_simulation_study() print(<bd_simulation>) summary(<bd_simulation>): Finite-Sample Simulation Study for the Univariate Model
bd_ttt_plot(): Scaled Total Time on Test Plot
simulate_bd_competing_data(): Simulate Competing Risks Data