R

Function Purpose Statement
randomArma Generates pseudorandom ARMA process numbers.
randomBeta Generates pseudorandom numbers from a beta distribution.
randomBinomial Generates pseudorandom binomial numbers.
randomCauchy Generates pseudorandom numbers from a Cauchy distribution.
randomChiSquared Generates pseudorandom numbers from a chi-squared distribution.
randomExponential Generates pseudorandom numbers from a standard exponential distribution.
randomExponentialMix Generates pseudorandom mixed numbers from a standard exponential distribution.
randomGamma Generates pseudorandom numbers from a standard gamma distribution.
randomGeneralContinuous Generates pseudorandom numbers from a general continuous distribution.
randomGeneralDiscrete Generates pseudorandom numbers from a general discrete distribution using an alias method or optionally a table lookup method.
randomGeometric Generates pseudorandom numbers from a geometric distribution.
randomGfsrTableGet Retrieves the current table used in the GFSR generator.
randomGfsrTableSet Sets the current table used in the GFSR generator.
randomHypergeometric Generates pseudorandom numbers from a hypergeometric distribution.
randomLogarithmic Generates pseudorandom numbers from a logarithmic distribution.
randomLognormal Generates pseudorandom numbers from a lognormal distribution.
randomMt32Init Initializes the 32-bit Mersenne Twister generator using an array.
randomMt32TableGet Retrieves the current table used in the 32-bit Mersenne Twister generator.
randomMt32TableSet Sets the current table used in the 32-bit Mersenne Twister generator.
randomMt64Init Initializes the 64-bit Mersenne Twister generator using an array.
randomMt64TableGet Retrieves the current table used in the 64-bit Mersenne Twister generator.
randomMt64TableSet Sets the current table used in the 64-bit Mersenne Twister generator.
randomMultinomial Generates pseudorandom numbers from a multinomial distribution.
randomMvarFromData Generates pseudorandom numbers from a multivariate distribution determined from a given sample.
randomMvarGaussianCopula Given a Cholesky factorization of a correlation matrix, generates pseudorandom numbers from a Gaussian Copula distribution.
randomMvarTCopula Given a Cholesky factorization of a correlation matrix, generates pseudorandom numbers from a Student’s t Copula distribution.
randomNegBinomial Generates pseudorandom numbers from a negative binomial distribution.
randomNormal Generates pseudorandom numbers from a normal, \(N(\mu,\sigma^2)\), distribution.
randomNormalMultivariate Generates pseudorandom numbers from a multivariate normal distribution.
randomNpp Generates pseudorandom numbers from a nonhomogeneous Poisson process.
randomOption Selects the uniform (0, 1) multiplicative congruential pseudorandom number generator.
randomOptionGet Retrieves the uniform (0, 1) multiplicative congruential pseudorandom number generator.
randomOrderNormal Generates pseudorandom order statistics from a standard normal distribution.
randomOrderUniform Generates pseudorandom order statistics from a uniform (0, 1) distribution.
randomOrthogonalMatrix Generates a pseudorandom orthogonal matrix or a correlation matrix.
randomPermutation Generates a pseudorandom permutation.
randomPoisson Generates pseudorandom numbers from a Poisson distribution.
randomSample Generates a simple pseudorandom sample from a finite population.
randomSampleIndices Generates a simple pseudorandom sample of indices.
randomSeedGet Retrieves the current value of the seed used in the IMSL random number generators.
randomSeedSet Initializes a random seed for use in the IMSL random number generators.
randomSphere Generates pseudorandom points on a unit circle or K-dimensional sphere.
randomStable Generates pseudorandom numbers from a stable distribution.
randomStudentT Generates pseudorandom Student’s t.
randomSubstreamSeedGet Retrieves a seed for the congruential generators that do not do shuffling that will generate random numbers beginning 100,000 numbers farther along.
randomTableGet Retrieves the current table used in the shuffled generator.
randomTableSet Sets the current table used in the shuffled generator.
randomTableTwoway Generates a pseudorandom two-way table.
randomTriangular Generates pseudorandom numbers from a triangular distribution.
randomUniform Generates pseudorandom numbers from a uniform (0, 1) distribution.
randomUniformDiscrete Generates pseudorandom numbers from a discrete uniform distribution.
randomVonMises Generates pseudorandom numbers from a von Mises distribution.
randomWeibull Generates pseudorandom numbers from a Weibull distribution.
randomnessTest Performs a test for randomness.
ranks Computes the ranks, normal scores, or exponential scores for a vector of observations.
rcbdFactorial Analyzes data from balanced and unbalanced randomized complete-block experiments.
regression Fits a multiple linear regression model using least squares.
regressionArima Fits a univariate, non-seasonal ARIMA time series model with the inclusion of one or more regression variables.
regressionPrediction Computes predicted values, confidence intervals, and diagnostics after fitting a regression model.
regressionSelection Selects the best multiple linear regression models.
regressionStepwise Builds multiple linear regression models using forward selection, backward selection or stepwise selection.
regressionSummary Produces summary statistics for a regression model given the information from the fit.
regressorsForGlm Generates regressors for a general linear model.
robustCovariances Computes a robust estimate of a covariance matrix and mean vector.