CRAN/E | BayesSPsurv

BayesSPsurv

Bayesian Spatial Split Population Survival Model

Installation

About

Parametric spatial split-population (SP) survival models for clustered event processes. The models account for structural and spatial heterogeneity among “at risk” and “immune” populations, and incorporate time-varying covariates. This package currently implements Weibull, Exponential and Log-logistic forms for the duration component. It also includes functions for a series of diagnostic tests and plots to easily visualize spatial autocorrelation, convergence, and spatial effects. Users can create their own spatial weights matrix based on their units and adjacencies of interest, making the use of these models flexible and broadly applicable to a variety of research areas. Joo et al. (2020) describe the estimators included in this package.

Citation BayesSPsurv citation info
nicolas-schmidt.github.io/BayesSPsurv/
Bug report File report

Key Metrics

Version 0.1.4
R ≥ 3.6.0
Published 2021-09-13 927 days ago
Needs compilation? yes
License MIT
License File
CRAN checks BayesSPsurv results

Downloads

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Last 90 days 368 +40%
Last 365 days 1.685 -55%

Maintainer

Maintainer

Nicolas Schmidt

nschmidt@cienciassociales.edu.uy

Authors

Brandon L. Bolte

aut

Nicolas Schmidt

aut / cre

Sergio Bejar

aut

Minnie M. Joo

aut

Nguyen K. Huynh

aut

Bumba Mukherjee

aut

Material

README
NEWS
Reference manual
Package source

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

Old Sources

BayesSPsurv archive

Depends

R ≥ 3.6.0

Imports

MCMCpack
FastGP
stats
Rcpp ≥ 1.0.3
coda
dplyr
reshape2
ggplot2
ape
progress
rworldmap
countrycode

Suggests

spduration

LinkingTo

Rcpp
RcppArmadillo