Search Results:
Showing results 1 to 10 of 5,509.
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.