Last data update: 2014.03.03

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R Release (3.2.3)
CranContrib
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Results 1 - 6 of 6 found.
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metrop (Package: mcmc) : Metropolis Algorithm

Markov chain Monte Carlo for continuous random vector using a Metropolis algorithm.
● Data Source: CranContrib
● Keywords: misc
● Alias: metrop, metrop.function, metrop.metropolis
● 0 images

olbm (Package: mcmc) : Overlapping Batch Means

Variance of sample mean of time series calculated using overlapping batch means.
● Data Source: CranContrib
● Keywords: ts
● Alias: olbm
● 0 images

morph (Package: mcmc) : Variable Transformation

Utility functions for variable transformation.
● Data Source: CranContrib
● Keywords: misc
● Alias: morph, morph.identity
● 0 images

morph.metrop (Package: mcmc) : Morphometric Metropolis Algorithm

Markov chain Monte Carlo for continuous random vector using a Metropolis algorithm for an induced density.
● Data Source: CranContrib
● Keywords: misc
● Alias: morph.metrop, morph.metrop.function, morph.metrop.morph.metropolis
● 0 images

initseq (Package: mcmc) : Initial Sequence Estimators

Variance of sample mean of functional of reversible Markov chain using methods of Geyer (1992).
● Data Source: CranContrib
● Keywords: ts
● Alias: initseq
● 0 images

temper (Package: mcmc) : Simulated Tempering and Umbrella Sampling

Markov chain Monte Carlo for continuous random vectors using parallel or serial simulated tempering, also called umbrella sampling. For serial tempering the state of the Markov chain is a pair (i, x), where i is an integer between 1 and k and x is a vector of length p. This pair is represented as a single real vector c(i, x). For parallel tempering the state of the Markov chain is vector of vectors (x[1], …, x[k]), where each x is of length p. This vector of vectors is represented as a k by p matrix.
● Data Source: CranContrib
● Keywords: misc
● Alias: temper, temper.function, temper.tempering
● 0 images