Other packages > Find by keyword >

RcppCensSpatial  

Spatial Estimation and Prediction for Censored/Missing Responses
View on CRAN: Click here


Download and install RcppCensSpatial package within the R console
Install from CRAN:
install.packages("RcppCensSpatial")

Install from Github:
library("remotes")
install_github("cran/RcppCensSpatial")

Install by package version:
library("remotes")
install_version("RcppCensSpatial", "0.3.0")



Attach the package and use:
library("RcppCensSpatial")
Maintained by
Katherine A. L. Valeriano
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2021-09-21
Latest Update: 2022-06-27
Description:
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.
How to cite:
Katherine A. L. Valeriano (2021). RcppCensSpatial: Spatial Estimation and Prediction for Censored/Missing Responses. R package version 0.3.0, https://cran.r-project.org/web/packages/RcppCensSpatial. Accessed 29 Jan. 2025.
Previous versions and publish date:
0.1.0 (2021-09-21 15:50)
Other packages that cited RcppCensSpatial R package
View RcppCensSpatial citation profile
Other R packages that RcppCensSpatial depends, imports, suggests or enhances
Complete documentation for RcppCensSpatial
Downloads during the last 30 days
Get rewarded with contribution points by helping add
Reviews / comments / questions /suggestions ↴↴↴

Today's Hot Picks in Authors and Packages

munfold  
Metric Unfolding
Multidimensional unfolding using Schoenemann's algorithm for metric and Procrustes rotation of unfo ...
Download / Learn more Package Citations See dependency  
r2resize  
In-Text Resize for Images, Tables and Fancy Resize Containers in 'shiny', 'rmarkdown' and 'quarto' Documents
Automatic resizing toolbar for containers, images and tables. Various resizable or expandable contai ...
Download / Learn more Package Citations See dependency  
lassoshooting  
L1 Regularized Regression (Lasso) Solver using the Cyclic Coordinate Descent Algorithm aka Lasso Shooting
L1 regularized regression (Lasso) solver using the Cyclic Coordinate Descent algorithm aka Lasso Sh ...
Download / Learn more Package Citations See dependency  
InSilicoVA  
Probabilistic Verbal Autopsy Coding with 'InSilicoVA' Algorithm
Computes individual causes of death and population cause-specific mortality fractions using the 'InS ...
Download / Learn more Package Citations See dependency  
rstac  
Client Library for SpatioTemporal Asset Catalog
Provides functions to access, search and download spacetime earth observation data via SpatioTempor ...
Download / Learn more Package Citations See dependency  

23,580

R Packages

204,057

Dependencies

63,980

Author Associations

23,581

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA