Create and Evaluate Probability Distributions
Aggregate discrete values
Cumulative Distribution Function
Cumulative Hazard Function
Probability Density Function
distionary: Create and Evaluate Probability Distributions
Distribution Objects
Bernoulli Distribution
Beta Distribution
Binomial Distribution
Cauchy Distribution
Chi-Squared Distribution
Degenerate Distribution
Empirical Distribution
Exponential Distribution
F Distribution
Finite Distribution
Gamma Distribution
Geometric Distribution
Generalised Extreme Value Distribution
Generalised Pareto Distribution
Hypergeometric Distribution
Log Normal Distribution
Log Pearson Type III distribution
Negative binomial Distribution
Normal (Gaussian) Distribution
Null Distribution
Pearson Type III distribution
Poisson Distribution
Student t Distribution
Uniform Distribution
Weibull Distribution
Evaluate a distribution
Find the probability left or right of a number
Representations of the Generalized Extreme Value Distribution
Representations of the Generalized Pareto Distribution
Hazard Function
Median of a Distribution
Moments of a Distribution
Odds Function
Parameters of a Distribution
Plot a Distribution
Probability Mass Function
Distribution name
Distribution Quantiles
Range of Distribution
Generate a Sample from a Distribution
Return Level Function
Survival Function
Variable Type of a Distribution
Create and evaluate probability distribution objects from a variety of families or define custom distributions. Automatically compute distributional properties, even when they have not been specified. This package supports statistical modeling and simulations, and forms the core of the probaverse suite of R packages.
Useful links