Spatial Censored Regression Models in R: The CensSpatial package

Abstract:

CensSpatial is an R package for analyzing spatial censored data through linear models. It offers a set of tools for simulating, estimating, making pbkp_redictions, and performing local influence diagnostics for outlier detection. The package provides four algorithms for estimation and pbkp_rediction. One of them is based on the stochastic approximation of the EM (SAEM) algorithm, which allows easy and fast estimation of the parameters of linear spatial models when censoring is present. The package provides worthy measures to perform diagnostic analysis using the Hessian matrix of the completed log-likelihood function. This work is divided into two parts. The first part discusses and illustrates the utilities that the package offers for estimating and pbkp_redicting spatial censored data. The second one describes the valuable tools to perform diagnostic analysis. Several examples in spatial environmental data are also provided.

Año de publicación:

2021

Keywords:

Fuente:

google