## All functions

Extract-rv

Extract or Replace Parts of a Random Vector

Extremes-rv

Maxima and Minima of Random Variables

Math(<rv>) Ops(<rv>)

Mathematical functions and Operators for rv Objects

abline.rv()

Add (Random) Straight Lines to a Plot

aperm(<rv>)

Random Array Transposition

apply.rv()

Apply Functions over Margins of Random Arrays

as.double(<rv>)

Coercing Random Vectors to Real-valued

as.integer(<rv>)

Integer Random vectors

as.list(<rv>)

Coerce a random vector object to a list

as.logical(<rv>)

Logical Random vectors

as.rv(<bugs>)

Coerce a bugs object into Random Variable Objects

as.rv(<stanfit>)

Convert simulations generated by Stan to a list of rv objects

as.vector(<rv>)

Coerce an rv object

cbind(<rv>)

Combine random vectors by columns or rows

cc() c(<rv>)

Combine values in an rv object

detachrv()

Detach the rv package

%*in*%

Test if in set

hist(<rv>)

Histogram of a random vector

is.constant() as.constant()

Constant Vectors

is.fuzzy()

Fuzziness

is.na(<rv>)

Missing Data Indicators

ivplot()

Interval plot

lines(<rv>)

Add Connected (Random) Line Segments to a Plot

%*%.rv() %**%

Random Matrix Multiplication

mean(<rv>)

Distribution of the Arithmetic Mean of a Random Vector

median(<rv>)

Distribution of the Sample Median

mlplot()

Horizontal interval plot of components of a random vector

is.numeric(<rv>) as.numeric(<rv>) as.numeric(<rvfactor>)

Numeric Random Vectors

outer.rv()

Outer Product of Random Arrays

plot(<rv>)

Plotting Scatterplots of Random Variable Objects

points(<rv>)

Add Points and Intervals to a Plot

posterior()

Generate Posterior Simulations

postsim()

Generate Posterior Simulations for lm or glm Objects (defunct)

print(<rv>)

Print Distribution Summary of a Random Variable

quantile(<rv>)

Distribution of a Quantile of a Random Vector

range(<rv>)

Distribution of the Range of a Random Vector

rep(<rv>)

Replicate Elements of Random Vectors

rv-package

Simulation-based Random Variable Objects

rv() is.rv()

Random Vectors

rvRhat()

R-hat Convergence Diagnostic

rvmatrix() rvarray()

Matrices and Arrays of Random Vectors

rvattr() rvattr<-()

Attributes of Random Variables

rvbern()

Generate a Random Vector from a Bernoulli Sampling Model

rvbeta()

Generate Random Vectors from a Beta Sampling Model

rvbinom()

Generate Random Variables from a Binomial Sampling Model

rvboot()

Generate a Random Vector from an Empirical Distribution

rvcat()

Generate Categorical Random Variables

rvcauchy()

Generate Random Variables from a Cauchy Sampling Model

rvchisq()

Generate Random Variables from a Chi-Square Sampling Model

rvci()

Credible (Uncertainty) Intervals for Random Scalars

rvconst()

Random Vector with a Point-Mass Distribution

rvcov()

Covariance Between Components of Random Vectors

rvcut()

Convert Numeric to Random Factor

rvdens()

Sample from an arbitrary density function using grid approximation

rvdirichlet()

Generate Random Variables from a Dirichlet Sampling Model

rvdiscrete()

Generate Random Vectors from a Discrete Sampling Model

rvempirical()

Generate a Random Vector from an Empirical Distribution

rvexp()

Generate Random Vectors from an Exponential Sampling Model

print(<rvfactor>) rvfactor()

Categorical Random Variables (Random Factors)

rvgamma()

Generate Random Variables from a Gamma Sampling Model

rvhist()

Histogram of Distributions of Components of a Random Vector

rvifelse()

Conditional Random Element Selection

rvinvchisq()

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

rvmapply()

Apply a function to multiple random vector arguments

rvmatch()

Generate a Random Vector from a Bernoulli Sampling Model

rvmax()

Get the max values of an rv object

rvmean()

Expectation of a Random Variable

rvmeanunif()

The distribution of the mean of uniform random variables

rvmin()

Get the min values of an rv object

rvmultinom()

Generate Random Variables from a Multinomial Sampling Model

rvnchains()

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

rvneff()

Number of Effective Draws in Each Component of a Random Variable

rvnorm()

Generate Random Variables from a Gaussian (Normal) Sampling Model

rvnsims()

Number of simulations stored in each component of an rv object

rvpar()

Set or Query Parameters of the 'rv' Package

rvpermut()

Random Vectors with a Permutation Distribution

rvpois()

Generate Random Vectors from a Poisson Sampling Model

rvpredict()

Generate predictions from models

rvquantile()

Componentwise Quantiles of Random Variables

rvrange()

Get the value range of an rv object

rvsample()

Draw a Sample from the Simulation Matrix of a Random Variable

rvsimapply()

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

rvsims()

Create Random Vectors from Simulation Draws

rvt()

Generate Random Variables from a Student-t Sampling Model

rvunif()

Generate Random Vectors from a Uniform Sampling Model

rvvar()

Variances of Components of Random Vectors

simapply()

Apply a Function to Rows of Simulations of Random Vectors

sims()

Retrieve the Simulations of Random Vectors

solve(<rv>)

Random Vectors

sort(<rv>)

Distribution of Order Statistics of a Random Vector

splitbyname()

Split a vector based on the names of the components

as.rvsummary() is.rvsummary() print(<rvsummary_rvfactor>)

Random Vector Summaries

unlistrv()

Flatten Lists Containing rv Objects