It provides functions to estimate parameters in linear spatial models with
censored/missing responses via the Expectation-Maximization (EM), the Stochastic
Approximation EM (SAEM), or the Monte Carlo EM (MCEM) algorithm. These algorithms
are widely used to compute the maximum likelihood (ML) estimates in problems with
incomplete data. The EM algorithm computes the ML estimates when a closed expression
for the conditional expectation of the complete-data log-likelihood function is
available. In the MCEM algorithm, the conditional expectation is substituted by a
Monte Carlo approximation based on many independent simulations of the missing data.
In contrast, the SAEM algorithm splits the E-step into simulation and integration
steps. This package also approximates the standard error of the estimates using the
Louis method. Moreover, it has a function that performs spatial prediction in new
locations.
ggplot2, gridExtra, MomTrunc, mvtnorm, Rcpp, Rdpack,
relliptical, stats, StempCens

Dirk Eddelbuettel and Romain Francois, with contributions by
David Reiss, and based on code written during 2005 and 2006 by
Dominick Samperi
The RcppClassic package provides a decrecated C++ library
which facilitates the integration of R and C++. New project
should use the new Rcpp API in the Rcpp package

Dirk Eddelbuettel and Romain Francois, with contributions by David Reiss,
and based on code written during 2005 and 2006 by Dominick Samperi
The 'RcppClassic' package provides a deprecated C++ library which
facilitates the integration of R and C++. New projects should use the new 'Rcpp'
'API' in the 'Rcpp' package.
Please send questions and comments about Rcpp to
rcpp-devel@lists.r-forge.r-project.org

The RcppClassic package provides a deprecated C++ library
which facilitates the integration of R and C++. New projects
should use the new Rcpp API in the Rcpp package.

The RcppClassic package provides a deprecated C++ library which
facilitates the integration of R and C++. New projects should use the new
Rcpp API in the Rcpp package.