R Graphical Manual

Last data update: 2014.03.03

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Results 1 - 6 of 6 found.
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lcmCR (Package: LCMCR) :

Create and initialize an object of class lcm_CR_Basic.

● Data Source: CranContrib
● Keywords: capture-recapture
● Alias: lcmCR
● 0 images

LCMCR-package (Package: LCMCR) :

This package implements a fully Bayesian multiple-recapture method for estimating the unknown size of a population using non-parametric latent class models. This is an implementation of the method described in Manrique-Vallier (forthcoming). The estimation algorithm is based on Markov Chain Monte Carlo sampling.

● Data Source: CranContrib
● Keywords:
● Alias: LCMCR, LCMCR-package
● 1 images

lcm_CR_Basic_generator (Package: LCMCR) : Generator for Class code{lcm_CR_Basic

Generator function for class lcm_CR_Basic.

● Data Source: CranContrib
● Keywords:
● Alias: lcm_CR_Basic_generator
● 0 images

lcmCR_PostSampl (Package: LCMCR) :

Convenience function for generate samples from the posterior distribution of the population size using an initialized lcm_CR_Basic object.

● Data Source: CranContrib
● Keywords:
● Alias: lcmCR_PostSampl
● 0 images

lcm_CR_Basic-class (Package: LCMCR) : Class code{"lcm_CR_Basic"

MCMC sampler for the Bayesian non-parametric latent class capture-recapture model.

● Data Source: CranContrib
● Keywords: classes
● Alias: lcm_CR_Basic, lcm_CR_Basic-class
● 0 images

MCMCenviron-class (Package: LCMCR) : Class code{"MCMCenviron"

A generic interface for MCMC sampler objects implementing Bayesian models. Methods provide access to underlying functionality implemented in C++. The underlying implementation provides basic functionality for controlling the chain, and a 'tracing buffer' for storing and retrieving the samples.

● Data Source: CranContrib
● Keywords:
● Alias: MCMCenviron-class
● 0 images