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Showing results 1 to 10 of 5,277.


Function DEoptim-methods [DEoptim v2.2-4]
keywords
methods
title
DEoptim-methods
description
Methods for DEoptim objects.
Function doublebracket-methods [DOBAD v1.0.6]
keywords
methods
title
Methods for Function [[ in Package DOBAD
description
Methods for function [[ in package DOBAD
Function getT-methods [DOBAD v1.0.6]
keywords
methods
title
~~ Methods for Function getT in Package `DOBAD' ~~
description
~~ Methods for function getT in Package `DOBAD' ~~
Function plot-methods [DOBAD v1.0.6]
keywords
methods
title
Plot CTMCs
description
Plotting for fully observed and partially observed Continuous Time Markov Chains.
Function sub-methods [DOBAD v1.0.6]
keywords
methods
title
Subscripting CTMCs
description
Subscripting methods for CTMCs.
Function getTs-methods [DOBAD v1.0.6]
keywords
methods
title
~~ Methods for Function getTs in Package `DOBAD' ~~
description
Accessor for vector of total times for each individual markov chain in a many-markov-chain object.
Function bracket-methods [DOBAD v1.0.6]
keywords
methods
title
Methods for Function [ in Package DOBAD
description
Methods for function [ in package DOBAD
Function evolMonteCarloClustering [EMCC v1.3]
keywords
methods
title
evolutionary Monte Carlo clustering algorithm
description
Given a possibly multi-modal and multi-dimensional clustering target density function and a temperature ladder this function produces samples from the target using the evolutionary Monte Carlo clustering (EMCC) algorithm. Below sampDim refers to the dimension of the sample space, temperLadderLen refers to the length of the temperature ladder, and levelsSaveSampForLen refers to the length of the levelsSaveSampFor.
Function findMaxTemper [EMCC v1.3]
keywords
methods
title
Find the maximum temperature for parallel MCMC chains
description
The evolutionary Monte Carlo clustering (EMCC) algorithm needs a temperature ladder. This function finds the maximum temperature for constructing the ladder. Below sampDim refers to the dimension of the sample space, temperLadderLen refers to the length of the temperature ladder, and levelsSaveSampForLen refers to the length of levelsSaveSampFor. Note, this function calls evolMonteCarloClustering, so some of the arguments below have the same name and meaning as the corresponding ones for evolMonteCarloClustering. See details below for explanation on the arguments.
Function placeTempers [EMCC v1.3]
keywords
methods
title
Place the intermediate temperatures between the temperature limits
description
The evolutionary Monte Carlo clustering (EMCC) algorithm needs a temperature ladder. This function places the intermediate temperatures between the minimum and the maximum temperature for the ladder. Below sampDim refers to the dimension of the sample space, temperLadderLen refers to the length of the temperature ladder, and levelsSaveSampForLen refers to the length of levelsSaveSampFor. Note, this function calls evolMonteCarloClustering, so some of the arguments below have the same name and meaning as the corresponding ones for evolMonteCarloClustering. See details below for explanation on the arguments.