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rv

The rv package provides tools for working with simulation-based random variables.

Installation

Installation

Stable version from CRAN

install.packages("rv")

or development version from GitHub

install.packages('devtools')  # package devtools needed
devtools::install_github("jsta/rv")

Examples

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Version

Install

install.packages('rv')

Monthly Downloads

92

Version

2.3.4

License

GPL-2

Issues

Pull Requests

Stars

Forks

Repository

https://github.com/jsta/rv

Maintainer

Joseph Stachelek

Last Published

February 3rd, 2020

Functions in rv (2.3.4)

Coerce a random vector object to a list

Random Array Transposition

Extract or Replace Parts of a Random Vector

Apply Functions over Margins of Random Arrays

Mathematical functions and Operators for rv Objects

Coercing Random Vectors to Real-valued

Logical Random vectors

Integer Random vectors

Outer Product of Random Arrays

Numeric Random Vectors

Coerce a bugs object into Random Variable Objects

Convert simulations generated by Stan to a list of rv objects

Add (Random) Straight Lines to a Plot

Maxima and Minima of Random Variables

Calculate the covariance of an rv object

Replicate Elements of Random Vectors

Distribution of the Range of a Random Vector

Coerce an rv object

Histogram of a random vector

Random Matrix Multiplication

Attributes of Random Variables

Combine values in an rv object

Constant Vectors

Distribution of the Sample Median

Distribution of the Arithmetic Mean of a Random Vector

Horizontal interval plot of components of a random vector

Add Points and Intervals to a Plot

Generate a Random Vector from an Empirical Distribution

Generate Random Variables from a Binomial Sampling Model

Plotting Scatterplots of Random Variable Objects

Detach the rv package

Simulation-based Random Variable Objects

Get the max values of an rv object

Add Connected (Random) Line Segments to a Plot

Generate Categorical Random Variables

Categorical Random Variables (Random Factors)

Apply a function to multiple random vector arguments

Generate Random Vectors from a Beta Sampling Model

Generate Random Vectors from an Exponential Sampling Model

Covariance Between Components of Random Vectors

Generate Posterior Simulations for lm or glm Objects (defunct)

Convert Numeric to Random Factor

Generate a Random Vector from a Bernoulli Sampling Model

Get the value range of an rv object

Combine random vectors by columns or rows

Expectation of a Random Variable

Flatten Lists Containing rv Objects

Generate Posterior Simulations

Generate Random Vectors from a Discrete Sampling Model

Generate a Random Vector from a Bernoulli Sampling Model

Number of Effective Draws in Each Component of a Random Variable

Generate Random Variables from a Student-t Sampling Model

Generate a Random Vector from an Empirical Distribution

Generate Random Variables from a Cauchy Sampling Model

Draw a Sample from the Simulation Matrix of a Random Variable

Generate Random Variables from a Chi-Square Sampling Model

Generate Random Variables from a Gaussian (Normal) Sampling Model

Number of Markov Chains Used to Generate Simulations of a Random Vector

Generate Random Variables from a Multinomial Sampling Model

Conditional Random Element Selection

Sample from an arbitrary density function using grid approximation

Generate Random Variables from a Inverse-Chi-Square Sampling Model

Random Vectors with a Permutation Distribution

Generate Random Vectors from a Poisson Sampling Model

Random Vector Summaries

Print Distribution Summary of a Random Variable

Distribution of Order Statistics of a Random Vector

Create Random Vectors from Simulation Draws

Numerical Summary of a Random Variable

Apply a Function to Columns of the Matrix of Simulation of a Random Vector

Missing Data Indicators

Generate Random Vectors from a Uniform Sampling Model

The distribution of the mean of uniform random variables

Get the min values of an rv object

Number of simulations stored in each component of an rv object

Matrices and Arrays of Random Vectors

Credible (Uncertainty) Intervals for Random Scalars

Generate Random Variables from a Dirichlet Sampling Model

Split a vector based on the names of the components

Distribution of a Quantile of a Random Vector

R-hat Convergence Diagnostic

Random Vector with a Point-Mass Distribution

Histogram of Distributions of Components of a Random Vector

Retrieve the Simulations of Random Vectors

Generate Random Variables from a Gamma Sampling Model

Set or Query Parameters of the 'rv' Package

Generate predictions from models

Apply a Function to Rows of Simulations of Random Vectors

Variances of Components of Random Vectors

Componentwise Quantiles of Random Variables