capdist

Dyadic dataset extracted from <a href="https://journals.sagepub.com/doi/10.1177/0022343301038006006">Gleditsch and Ward (2001)</a>.
The dataset contains information on the distace between capital cities among independent nation-states.

datasets

Parametric spatial split-population (SP) survival models for clustered
event processes. The models account for structural and spatial heterogeneity among
<e2><80><9c>at risk<e2><80><9d> and <e2><80><9c>immune<e2><80><9d> 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) <https://github.com/Nicolas-Schmidt/BayesSPsurv/blob/master/man/figures/SPcure.pdf> describe
the estimators included in this package.

Nicolas Schmidt

BayesSPsurv

Bayesian Spatial Split Population Survival Model

Brandon L. Bolte

Sergio Bejar

Minnie M. Joo

Nguyen K. Huynh

Bumba Mukherjee

capdist function

A data frame with 41006 rows and 6 variables

Format

Dyadic dataset extracted from <a href='https://journals.sagepub.com/doi/10.1177/0022343301038006006'>Gleditsch and Ward (2001)</a>.
The dataset contains information on the distace between capital cities among independent nation-states.

capdist: Gleditsch and Ward Distance data

Description

Usage

Arguments

Format

Details