Man pages for gkwreg
Generalized Kumaraswamy Regression Models for Bounded Data

AIC.gkwfitCalculate AIC or BIC for gkwfit Objects
AIC.gkwregAkaike's Information Criterion for GKw Regression Models
anova.gkwfitCompare Fitted gkwfit Models using Likelihood Ratio Tests
BIC.gkwfitCalculate Bayesian Information Criterion (BIC) for gkwfit...
BIC.gkwregBayesian Information Criterion for GKw Regression Models
calculateCoxSnellResidualsCalculate Cox-Snell Residuals
calculateDensitiesCalculate Densities for Distribution
calculateDevianceResidualsCalculate Deviance Residuals
calculate_fit_metricsCalculate additional fit metrics for all models
calculateMeansCalculate Means for Distribution
calculateModifiedDevianceResidualsCalculate Modified Deviance Residuals
calculateParametersCalculate Parameters for the Generalized Kumaraswamy...
calculatePartialResidualsCalculate Partial Residuals
calculatePearsonResidualsCalculate Pearson Residuals
calculateProbabilitiesCalculate Cumulative Probabilities for Distribution
calculateQuantileResidualsCalculate Quantile Residuals
calculateQuantilesCalculate Quantiles for Distribution
calculateResponseResidualsCalculate Response Residuals
calculateScoreResidualsCalculate Score Residuals
coef.gkwfitExtract Model Coefficients from a gkwfit Object
coef.gkwregExtract Coefficients from a Fitted GKw Regression Model
confint.gkwfitCompute Confidence Intervals for gkwfit Parameters
create_comparison_plotsCreate enhanced comparison plots of all fitted distributions
create_comparison_tableCreate comparison table of fit statistics with expanded...
dbeta_Density of the Beta Distribution (gamma, delta+1...
dbkwDensity of the Beta-Kumaraswamy (BKw) Distribution
dekwDensity of the Exponentiated Kumaraswamy (EKw) Distribution
dgkwDensity of the Generalized Kumaraswamy Distribution
dkkwDensity of the Kumaraswamy-Kumaraswamy (kkw) Distribution
dkwDensity of the Kumaraswamy (Kw) Distribution
dmcDensity of the McDonald (Mc)/Beta Power Distribution...
dot-calculate_diagnostic_measuresCalculate diagnostic measures for gkwreg plots
dot-calculate_distance_testsCalculate Distance-Based Test Statistics
dot-calculate_gofCalculate goodness-of-fit statistics
dot-calculate_half_normal_dataCalculate half-normal plot data with envelope
dot-calculate_information_criteriaCalculate Information Criteria
dot-calculate_likelihood_statisticsCalculate Likelihood Statistics
dot-calculate_model_parametersCalculate model parameters for the specified family
dot-calculate_moment_comparisonsCalculate Moment Comparisons
dot-calculate_prediction_metricsCalculate Prediction Accuracy Metrics
dot-calculate_probability_plot_metricsCalculate Probability Plot Metrics
dot-calculate_profilesCalculate profile likelihoods
dot-calculate_residualsCalculate residuals based on the specified type
dot-calculate_sample_momentsCalculate Sample Moments
dot-calculate_sim_residualsCalculate residuals for simulated data
dot-calculate_theoretical_cdfCalculate Theoretical CDF Values for GKw Family Distributions
dot-calculate_theoretical_momentsCalculate Theoretical Moments for GKw Family Distributions
dot-calculate_theoretical_pdfCalculate Theoretical PDF Values for GKw Family Distributions
dot-calculate_theoretical_quantilesCalculate Theoretical Quantiles for GKw Family Distributions
dot-check_and_compile_TMB_codeCheck and Compile TMB Model Code with Persistent Cache
dot-convert_links_to_intConvert Link Function Names to TMB Integers
dot-create_bar_plotCreate Bar Plot for Model Comparison
dot-create_plot_titlesCreate formatted plot titles
dot-create_radar_plotCreate Radar Plot for Model Comparison
dot-create_table_plotCreate Table Plot for Model Comparison
dot-determine_start_valuesDetermine initial parameter values
dot-extract_model_dataExtract Model Data for GKw Regression
dot-extract_model_matricesExtract model matrices from a gkwreg object with...
dot-extract_model_paramsExtract model parameters from a gkwreg object with...
dot-extract_parameter_vectorsExtract parameter vectors from parameter matrix
dot-family_to_codeConvert family string to numeric code for TMB
dot-fit_submodelsFit submodels for comparison
dot-fit_submodels_tmbFit submodels for the GKw family for model comparison
dot-fit_tmbFit GKw family distributions using TMB
dot-format_coefficient_namesFormat Coefficient Names Based on Family and Model Matrices
dot-generate_additional_plotsGenerate Additional Diagnostic Plots Beyond Those in gkwfit
dot-generate_plotsGenerate diagnostic plots for distribution models
dot-generate_random_samplesGenerate Random Samples from GKw Family Distributions
dot-get_default_fixedGet default fixed parameters for a family
dot-get_default_startGet default start values for a family
dot-get_family_fixed_defaultsGet default fixed parameters for each GKw family
dot-get_family_param_infoGet family parameter information
dot-map_gkwreg_to_tmb_paramMap gkwreg parameter index to TMB parameter index
dot-plot_base_r_cooks_distancePlot Cook's distance (base R)
dot-plot_base_r_half_normalPlot half-normal plot (base R)
dot-plot_base_r_leverage_vs_fittedPlot leverage vs. fitted (base R)
dot-plot_base_r_predicted_vs_observedPlot predicted vs. observed (base R)
dot-plot_base_r_residuals_vs_indexPlot residuals vs. index (base R)
dot-plot_base_r_residuals_vs_linpredPlot residuals vs. linear predictor (base R)
dot-plot_ggplot_cooks_distancePlot Cook's distance (ggplot2)
dot-plot_ggplot_half_normalPlot half-normal plot (ggplot2)
dot-plot_ggplot_leverage_vs_fittedPlot leverage vs. fitted (ggplot2)
dot-plot_ggplot_predicted_vs_observedPlot predicted vs. observed (ggplot2)
dot-plot_ggplot_residuals_vs_indexPlot residuals vs. index (ggplot2)
dot-plot_ggplot_residuals_vs_linpredPlot residuals vs. linear predictor (ggplot2)
dot-plot_gkwreg_base_rGenerate diagnostic plots using base R graphics
dot-plot_gkwreg_ggplotGenerate diagnostic plots using ggplot2
dot-prepare_tmb_dataPrepare TMB Data for GKw Regression
dot-prepare_tmb_paramsPrepare TMB Parameters for GKw Regression
dot-print_gof_summaryPrint Formatted Summary of Goodness-of-Fit Statistics
dot-process_fixedProcess Fixed Parameters for GKw Regression
dot-process_formula_partsProcess Formula Parts from a Formula Object
dot-process_linkProcess Link Functions for GKw Regression
dot-sample_model_dataSample model data for large datasets
dot-simulate_from_distributionSimulate observations from a specified distribution family
dot-simulate_p_values_bootstrapSimulate P-Values Using Parametric Bootstrap
dot-validate_and_prepare_gkwreg_diagnosticsValidate inputs and prepare diagnostic data for gkwreg plots
dot-validate_dataValidate data for GKw family distributions
dot-validate_parametersValidate parameters for GKw family distributions
extract_gof_statsExtract Key Statistics from gkwgof Objects
fitted.gkwregExtract Fitted Values from a Generalized Kumaraswamy...
generate_reportGenerate R Markdown report with analysis results
get_cdf_functionGet the CDF function for a fitted GKw distribution model
get_density_functionGet the density function for a fitted GKw distribution model
get_quantile_functionGet the quantile function for a fitted GKw distribution model
gkwfitFit Generalized Kumaraswamy Distribution via Maximum...
gkwfitallFit All or Selected Generalized Kumaraswamy Family...
gkwgetstartvaluesMain function to estimate GKw distribution parameters using...
gkwgofComprehensive Goodness-of-Fit Analysis for GKw Family...
gkwregFit Generalized Kumaraswamy Regression Models
grbetaGradient of the Negative Log-Likelihood for the Beta...
grbkwGradient of the Negative Log-Likelihood for the BKw...
grekwGradient of the Negative Log-Likelihood for the EKw...
grgkwGradient of the Negative Log-Likelihood for the GKw...
grkkwGradient of the Negative Log-Likelihood for the kkw...
grkwGradient of the Negative Log-Likelihood for the Kumaraswamy...
grmcGradient of the Negative Log-Likelihood for the McDonald...
hsbetaHessian Matrix of the Negative Log-Likelihood for the Beta...
hsbkwHessian Matrix of the Negative Log-Likelihood for the BKw...
hsekwHessian Matrix of the Negative Log-Likelihood for the EKw...
hsgkwHessian Matrix of the Negative Log-Likelihood for the GKw...
hskkwHessian Matrix of the Negative Log-Likelihood for the kkw...
hskwHessian Matrix of the Negative Log-Likelihood for the Kw...
hsmcHessian Matrix of the Negative Log-Likelihood for the...
llbetaNegative Log-Likelihood for the Beta Distribution (gamma,...
llbkwNegative Log-Likelihood for Beta-Kumaraswamy (BKw)...
llekwNegative Log-Likelihood for the Exponentiated Kumaraswamy...
llgkwNegative Log-Likelihood for the Generalized Kumaraswamy...
llkkwNegative Log-Likelihood for the kkw Distribution
llkwNegative Log-Likelihood of the Kumaraswamy (Kw) Distribution
llmcNegative Log-Likelihood for the McDonald (Mc)/Beta Power...
logLik.gkwfitExtract Log-Likelihood from a gkwfit Object
logLik.gkwregExtract Log-Likelihood from a Generalized Kumaraswamy...
nrgkwEnhanced Newton-Raphson Optimization for GKw Family...
pbeta_CDF of the Beta Distribution (gamma, delta+1...
pbkwCumulative Distribution Function (CDF) of the...
pekwCumulative Distribution Function (CDF) of the EKw...
pgkwGeneralized Kumaraswamy Distribution CDF
pipePipe operator
pkkwCumulative Distribution Function (CDF) of the kkw...
pkwCumulative Distribution Function (CDF) of the Kumaraswamy...
plotcompareCompare Goodness-of-Fit Results Across Multiple Models
plot.gkwfitPlot Diagnostics for a gkwfit Object
plot.gkwfitallPlot method for gkwfitall objects
plot.gkwgofPlot Method for gkwgof Objects
plot.gkwregDiagnostic Plots for Generalized Kumaraswamy Regression...
pmcCDF of the McDonald (Mc)/Beta Power Distribution
predict.gkwregPredictions from a Fitted Generalized Kumaraswamy Regression...
print.anova.gkwfitS3 method for class 'anova.gkwfit'
print.gkwfitPrint Method for gkwfit Objects
print.gkwfitallPrint method for gkwfitall objects
print.gkwgofPrint Method for gkwgof Objects
print.summary.gkwfitPrint Method for summary.gkwfit Objects
print.summary.gkwfitallPrint method for summary.gkwfitall objects
print.summary.gkwgofPrint Method for summary.gkwgof Objects
print.summary.gkwregPrint Method for Generalized Kumaraswamy Regression Summaries
qbeta_Quantile Function of the Beta Distribution (gamma, delta+1...
qbkwQuantile Function of the Beta-Kumaraswamy (BKw) Distribution
qekwQuantile Function of the Exponentiated Kumaraswamy (EKw)...
qgkwGeneralized Kumaraswamy Distribution Quantile Function
qkkwQuantile Function of the Kumaraswamy-Kumaraswamy (kkw)...
qkwQuantile Function of the Kumaraswamy (Kw) Distribution
qmcQuantile Function of the McDonald (Mc)/Beta Power...
rbeta_Random Generation for the Beta Distribution (gamma, delta+1...
rbkwRandom Number Generation for the Beta-Kumaraswamy (BKw)...
rekwRandom Number Generation for the Exponentiated Kumaraswamy...
residuals.gkwregExtract Residuals from a Generalized Kumaraswamy Regression...
rgkwGeneralized Kumaraswamy Distribution Random Generation
rkkwRandom Number Generation for the kkw Distribution
rkwRandom Number Generation for the Kumaraswamy (Kw)...
rmcRandom Number Generation for the McDonald (Mc)/Beta Power...
summary.gkwfitSummary Method for gkwfit Objects
summary.gkwfitallSummary method for gkwfitall objects
summary.gkwgofSummary Method for gkwgof Objects
summary.gkwregSummary Method for Generalized Kumaraswamy Regression Models
vcov.gkwfitExtract Variance-Covariance Matrix from a gkwfit Object
vcov.gkwregExtract Variance-Covariance Matrix from a Generalized...
gkwreg documentation built on April 16, 2025, 1:10 a.m.