| AIC.gkwfit |
Calculate AIC or BIC for gkwfit Objects |
| AIC.gkwreg |
Akaike's Information Criterion for GKw Regression Models |
| anova.gkwfit |
Compare Fitted gkwfit Models using Likelihood Ratio Tests |
| BIC.gkwfit |
Calculate Bayesian Information Criterion (BIC) for gkwfit Objects |
| BIC.gkwreg |
Bayesian Information Criterion for GKw Regression Models |
| calculateCoxSnellResiduals |
Calculate Cox-Snell Residuals |
| calculateDensities |
Calculate Densities for Distribution |
| calculateDevianceResiduals |
Calculate Deviance Residuals |
| calculateMeans |
Calculate Means for Distribution |
| calculateModifiedDevianceResiduals |
Calculate Modified Deviance Residuals |
| calculateParameters |
Calculate Parameters for the Generalized Kumaraswamy Distribution |
| calculatePartialResiduals |
Calculate Partial Residuals |
| calculatePearsonResiduals |
Calculate Pearson Residuals |
| calculateProbabilities |
Calculate Cumulative Probabilities for Distribution |
| calculateQuantileResiduals |
Calculate Quantile Residuals |
| calculateQuantiles |
Calculate Quantiles for Distribution |
| calculateResponseResiduals |
Calculate Response Residuals |
| calculateScoreResiduals |
Calculate Score Residuals |
| coef.gkwfit |
Extract Model Coefficients from a gkwfit Object |
| coef.gkwreg |
Extract Coefficients from a Fitted GKw Regression Model |
| confint.gkwfit |
Compute Confidence Intervals for gkwfit Parameters |
| dbeta_ |
Density of the Beta Distribution (gamma, delta+1 Parameterization) |
| dbkw |
Density of the Beta-Kumaraswamy (BKw) Distribution |
| dekw |
Density of the Exponentiated Kumaraswamy (EKw) Distribution |
| dgkw |
Density of the Generalized Kumaraswamy Distribution |
| dkkw |
Density of the Kumaraswamy-Kumaraswamy (kkw) Distribution |
| dkw |
Density of the Kumaraswamy (Kw) Distribution |
| dmc |
Density of the McDonald (Mc)/Beta Power Distribution Distribution |
| extract_gof_stats |
Extract Key Statistics from gkwgof Objects |
| fitted.gkwreg |
Extract Fitted Values from a Generalized Kumaraswamy Regression Model |
| get_bounded_datasets |
Access datasets from bounded response regression packages |
| gkwfit |
Fit Generalized Kumaraswamy Distribution via Maximum Likelihood Estimation using TMB |
| gkwfitall |
Fit All or Selected Generalized Kumaraswamy Family Distributions and Compare Them |
| gkwgetstartvalues |
Main function to estimate GKw distribution parameters using the method of moments. This implementation is optimized for numerical stability and computational efficiency. |
| gkwgof |
Comprehensive Goodness-of-Fit Analysis for GKw Family Distributions |
| gkwreg |
Fit Generalized Kumaraswamy Regression Models |
| grbeta |
Gradient of the Negative Log-Likelihood for the Beta Distribution (gamma, delta+1 Parameterization) |
| grbkw |
Gradient of the Negative Log-Likelihood for the BKw Distribution |
| grekw |
Gradient of the Negative Log-Likelihood for the EKw Distribution |
| grgkw |
Gradient of the Negative Log-Likelihood for the GKw Distribution |
| grkkw |
Gradient of the Negative Log-Likelihood for the kkw Distribution |
| grkw |
Gradient of the Negative Log-Likelihood for the Kumaraswamy (Kw) Distribution |
| grmc |
Gradient of the Negative Log-Likelihood for the McDonald (Mc)/Beta Power Distribution |
| hsbeta |
Hessian Matrix of the Negative Log-Likelihood for the Beta Distribution (gamma, delta+1 Parameterization) |
| hsbkw |
Hessian Matrix of the Negative Log-Likelihood for the BKw Distribution |
| hsekw |
Hessian Matrix of the Negative Log-Likelihood for the EKw Distribution |
| hsgkw |
Hessian Matrix of the Negative Log-Likelihood for the GKw Distribution |
| hskkw |
Hessian Matrix of the Negative Log-Likelihood for the kkw Distribution |
| hskw |
Hessian Matrix of the Negative Log-Likelihood for the Kw Distribution |
| hsmc |
Hessian Matrix of the Negative Log-Likelihood for the McDonald (Mc)/Beta Power Distribution |
| list_bounded_datasets |
List all available datasets for bounded response regression |
| llbeta |
Negative Log-Likelihood for the Beta Distribution (gamma, delta+1 Parameterization) |
| llbkw |
Negative Log-Likelihood for Beta-Kumaraswamy (BKw) Distribution |
| llekw |
Negative Log-Likelihood for the Exponentiated Kumaraswamy (EKw) Distribution |
| llgkw |
Negative Log-Likelihood for the Generalized Kumaraswamy Distribution |
| llkkw |
Negative Log-Likelihood for the kkw Distribution |
| llkw |
Negative Log-Likelihood of the Kumaraswamy (Kw) Distribution |
| llmc |
Negative Log-Likelihood for the McDonald (Mc)/Beta Power Distribution |
| logLik.gkwfit |
Extract Log-Likelihood from a gkwfit Object |
| logLik.gkwreg |
Extract Log-Likelihood from a Generalized Kumaraswamy Regression Model |
| nrgkw |
Enhanced Newton-Raphson Optimization for GKw Family Distributions |
| pbeta_ |
CDF of the Beta Distribution (gamma, delta+1 Parameterization) |
| pbkw |
Cumulative Distribution Function (CDF) of the Beta-Kumaraswamy (BKw) Distribution |
| pekw |
Cumulative Distribution Function (CDF) of the EKw Distribution |
| pgkw |
Generalized Kumaraswamy Distribution CDF |
| pkkw |
Cumulative Distribution Function (CDF) of the kkw Distribution |
| pkw |
Cumulative Distribution Function (CDF) of the Kumaraswamy (Kw) Distribution |
| plot.gkwfit |
Plot Diagnostics for a gkwfit Object |
| plot.gkwfitall |
Plot method for gkwfitall objects |
| plot.gkwgof |
Plot Method for gkwgof Objects |
| plot.gkwreg |
Diagnostic Plots for Generalized Kumaraswamy Regression Models |
| plotcompare |
Compare Goodness-of-Fit Results Across Multiple Models |
| pmc |
CDF of the McDonald (Mc)/Beta Power Distribution |
| predict.gkwreg |
Predictions from a Fitted Generalized Kumaraswamy Regression Model |
| print.anova.gkwfit |
S3 method for class 'anova.gkwfit' |
| print.gkwfitall |
Print method for gkwfitall objects |
| print.gkwgof |
Print Method for gkwgof Objects |
| print.summary.gkwfitall |
Print method for summary.gkwfitall objects |
| print.summary.gkwgof |
Print Method for summary.gkwgof Objects |
| qbeta_ |
Quantile Function of the Beta Distribution (gamma, delta+1 Parameterization) |
| qbkw |
Quantile Function of the Beta-Kumaraswamy (BKw) Distribution |
| qekw |
Quantile Function of the Exponentiated Kumaraswamy (EKw) Distribution |
| qgkw |
Generalized Kumaraswamy Distribution Quantile Function |
| qkkw |
Quantile Function of the Kumaraswamy-Kumaraswamy (kkw) Distribution |
| qkw |
Quantile Function of the Kumaraswamy (Kw) Distribution |
| qmc |
Quantile Function of the McDonald (Mc)/Beta Power Distribution |
| rbeta_ |
Random Generation for the Beta Distribution (gamma, delta+1 Parameterization) |
| rbkw |
Random Number Generation for the Beta-Kumaraswamy (BKw) Distribution |
| rekw |
Random Number Generation for the Exponentiated Kumaraswamy (EKw) Distribution |
| residuals.gkwreg |
Extract Residuals from a Generalized Kumaraswamy Regression Model |
| rgkw |
Generalized Kumaraswamy Distribution Random Generation |
| rkkw |
Random Number Generation for the kkw Distribution |
| rkw |
Random Number Generation for the Kumaraswamy (Kw) Distribution |
| rmc |
Random Number Generation for the McDonald (Mc)/Beta Power Distribution |
| summary.gkwfit |
Summary Method for gkwfit Objects |
| summary.gkwfitall |
Summary method for gkwfitall objects |
| summary.gkwgof |
Summary Method for gkwgof Objects |
| summary.gkwreg |
Summary Method for Generalized Kumaraswamy Regression Models |
| vcov.gkwfit |
Extract Variance-Covariance Matrix from a gkwfit Object |
| vcov.gkwreg |
Extract Variance-Covariance Matrix from a Generalized Kumaraswamy Regression Model |
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