Package: RcppCensSpatial 0.3.0

Katherine A. L. Valeriano

RcppCensSpatial: Spatial Estimation and Prediction for Censored/Missing Responses

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.

Authors:Katherine A. L. Valeriano [aut, cre], Alejandro Ordonez Cuastumal [ctb], Christian Galarza Morales [ctb], Larissa Avila Matos [ctb]

RcppCensSpatial_0.3.0.tar.gz
RcppCensSpatial_0.3.0.tar.gz(r-4.5-noble)RcppCensSpatial_0.3.0.tar.gz(r-4.4-noble)
RcppCensSpatial_0.3.0.tgz(r-4.4-emscripten)RcppCensSpatial_0.3.0.tgz(r-4.3-emscripten)
RcppCensSpatial.pdf |RcppCensSpatial.html
RcppCensSpatial/json (API)

# Install 'RcppCensSpatial' in R:
install.packages('RcppCensSpatial', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Uses libs:
  • openblas– Optimized BLAS
  • c++– GNU Standard C++ Library v3
  • openmp– GCC OpenMP (GOMP) support library
Datasets:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

openblascppopenmp

1.70 score 1 scripts 189 downloads 6 exports 64 dependencies

Last updated 2 years agofrom:88cb16156a. Checks:OK: 1 NOTE: 1. Indexed: no.

TargetResultDate
Doc / VignettesOKDec 05 2024
R-4.5-linux-x86_64NOTEDec 05 2024

Exports:CovMatdist2DmatrixEM.sclmMCEM.sclmrCensSpSAEM.sclm

Dependencies:apeBHclicodacolorspacecontfraccorpcorcubaturedeSolvedigestdistancesellipticfansifarverFuzzyNumbersFuzzyNumbers.Ext.2ggplot2gluegmmgridExtragtablehypergeoisobandlabelinglatticelifecyclemagrittrMASSMatrixmatrixcalcMCMCglmmmgcvMomTruncmunsellmvtnormnlmepillarpkgconfigR6rbibutilsRColorBrewerRcppRcppArmadilloRcppEigenRcppProgressRdpackrellipticalrlangroptimRyacas0sandwichscalessettingsStempCenstensorAtibbletlrmvnmvttmvtnormutf8vctrsviridisLitewithrxml2zoo