peace: Data on the characteristics of peace agreement outcomes

In GLMpack: Data and Code to Accompany Generalized Linear Models, 2nd Edition

Description

Data for the Peace example used in chapter 7

Usage

data(peace)

Format

A data frame with 216 rows and 9 variables:

OUTISS

Ordinal variable indicating the scale of outstanding issues that were not resolved during the peace negotiations with 30 percent zero values

PP

Binary variable indicating whether a rebel force is allowed to transform into a legal political party

INTCIV

Binary variable indicating whether members of the rebel group are to be integrated into the civil service

AMN

Binary variable indicating whether there is an amnesty provision in the agreement

PRIS

Binary variable indicating whether prisoners are released

FED

Binary variable indicating whether a federal state solution is included

COMIMP

Binary variable indicating whether the agreement establishes a commission or committee to oversee implementation

REAFFIRM

Binary variable indicating whether the agreement reaffirms earlier peace agreements

PKO

Binary variable indicating whether or not the peace agreement included the deployment of peacekeeping forces

...

Examples

data(peace)
attach(peace)
require(pscl)

## Table 7.6
M3 <- zeroinfl(OUTISS ~ PP + INTCIV + AMN + PRIS + FED + COMIMP + REAFFIRM | PKO, data=peace)
summary(M3)
out.table.count <- cbind(summary(M3)$coef$count[,1:2],
    summary(M3)$coef$count[,1] - 1.96*summary(M3)$coef$count[,2],
    summary(M3)$coef$count[,1] + 1.96*summary(M3)$coef$count[,2])
out.table.zero <- cbind(summary(M3)$coef$zero[,1:2],
    summary(M3)$coef$zero[,1] - 1.96*summary(M3)$coef$zero[,2],
    summary(M3)$coef$zero[,1] + 1.96*summary(M3)$coef$zero[,2])
out.table.count
out.table.zero

GLMpack documentation built on July 19, 2019, 5:05 p.m.