Mixture and Composite Distributions
A flexible computational framework for mixture distributions with the focus on the composite models.
The Burr Distribution
The Frechet Distribution
Fitting a GPD-Normal-GPD Model
The Generalized Pareto Distribution
Creates an Object Representing Generalized Pareto Distribution
The Gumbel Distribution
Fitting a Pareto-Normal-Pareto Model
The Pareto Distribution
Quantile-Quantile Plot
Implementation of Quantile-Quantile Plot with ggplot2
Autoplot of Fitted Distributions Using ggplot2
Autoplot of Distributions Using ggplot2
Creates an Object Representing Beta Distribution
Creates an Object Representing Binomial Distribution.
Extract Model Breakpoints
Creates an Object Representing Burr Distribution
Creates an Object Representing Cauchy Distribution.
Creates an Object Representing Chi-Squared Distribution
Creates an Object Representing Composite Distribution
Density Function
Transformation of a Distribution Object
Extract Distribution of Fitted Model
Creates an Object Representing Exponential Distribution
Creates an Object Representing F Distribution
Creates an Object Representing Frechet Distribution
Creates an Object Representing Gamma Distribution
Creates an Object Representing Geometric Distribution
Get Parameters
Creates an Object Representing Gumbel Distribution
Creates an Object Representing Hypergeometric Distribution
Reports whether O is a Composite Distribution Object
Reports whether O is a Continuous Distribution Object
Reports whether O is a Discrete Distribution Object
Reports whether O is a Distribution Object
Reports whether O is a Mixture Distribution Object
Reports whether O is a Standard Distribution Object
Reports whether O is a Transformed Distribution Object
Probability mass points
Returns the Last Element from History List
Creates an Object Representing Log Normal Distribution.
mistr: A Computational Framework for Univariate Mixture and Composite Distributions
Mistr d/p/q/r Wrappers
Mistr Theme for Ggplot
Creates an Object Representing Mixture Distribution
Monotonicity of Transformation
Creates an Object Representing Multinomial Distribution
Creates an Object Representing Negative Binomial Distribution
Creates New Distribution Object
Creates an Object Representing Normal Distribution
Distribution Function
Extract Model Parameters
Creates an Object Representing Pareto Distribution
Left-Hand Limit of Distribution Function
Autoplot of Distributions
Autoplot of Fitted Distributions
Creates an Object Representing Poisson Distribution
Quantile Function
Terminate an R Session
Quantile Function Approximation
Quantile Function of a Mixture Model
Right-Hand Limit of Quantile Function
Right-Hand Limit of Mixture Quantile Function
Random Generation
Risk Measures of Fitted Objects
Set Parameters
Log-returns of Five Stocks
Support Interval of Distribution Object
Displays a Useful Description of a Distribution Object
Displays a Useful Description of a Fitted Object
Creates an Object Representing Student-t Distribution
Modifications of Transformations
Creates an Object Representing Uniform Distribution
Untransformation of a Distribution Object
Creates an Object Representing Weibull Distribution
Creates an Object Representing Wilcoxon Distribution
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