CRAN/E | smile

smile

Spatial Misalignment

Installation

About

Provides functions to estimate, predict and interpolate areal data. For estimation and prediction we assume areal data is an average of an underlying continuous spatial process as in Moraga et al. (2017) doi:10.1016/j.spasta.2017.04.006, Johnson et al. (2020) doi:10.1186/s12942-020-00200-w, and Wilson and Wakefield (2020) doi:10.1093/biostatistics/kxy041. The interpolation methodology is (mostly) based on Goodchild and Lam (1980, ISSN:01652273).

lcgodoy.me/smile/
github.com/lcgodoy/smile/
System requirements C++11, GDAL (>= 2.0.1), GEOS (>= 3.4.0), PROJ (>= 4.8.0)
Bug report File report

Key Metrics

Version 1.0.4.1
R ≥ 3.5
Published 2022-04-29 888 days ago
Needs compilation? yes
License GPL-3
CRAN checks smile results
Language en-US

Downloads

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Maintainer

Maintainer

Lucas da Cunha Godoy

Authors

Lucas da Cunha Godoy

aut / cre

Material

README
NEWS
Reference manual
Package source

Vignettes

2. Fitting models and making predictions
3. Areal Interpolation
1. Converting sf objects to spm
5. Spatial covariance functions
4. Method

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Depends

R ≥ 3.5

Imports

numDeriv
Rcpp
sf
mvtnorm
stats
Matrix

Suggests

knitr
rmarkdown
ggplot2
graphics

LinkingTo

Rcpp
RcppArmadillo