distionary - Create and Evaluate Probability Distributions
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.
Last updated
distributions
8.25 score 8 stars 3 dependents 41 scripts 522 downloads
distionary - Create and Evaluate Probability Distributions
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.
Last updated
distributions
8.25 score 8 stars 3 dependents 41 scripts 522 downloads
distplyr - Manipulate and Combine Probability Distributions
Go beyond standard probability distributions such as the Normal or Exponential by combining, shifting, maximizing, and otherwise transforming distributions with simple, verb-based functions. Provides easy access to a broader space of distributions more representative of real-world systems such as river flows or insurance claims. Part of the probaverse framework of packages to support advanced statistical modeling and simulations with an intuitive workflow.
Last updated
5.73 score 3 stars 1 dependents 10 scripts 135 downloads
famish - Flexibly Tune Families of Probability Distributions
Fits probability distributions to data and plugs into the 'probaverse' suite of R packages so distribution objects are ready for further manipulation and evaluation. Supports methods such as maximum likelihood and L-moments, and provides diagnostics including empirical ranking and quantile score.
Last updated
4.78 score 1 dependents 6 scripts 126 downloads
