swiss

Standardized fertility measure and socio-economic indicators for
 each of 47 French-speaking provinces of Switzerland at about 1888.

datasets

A framework that brings together an abundance of common
statistical models found across packages into a unified interface, and
provides a common architecture for estimation and interpretation, as well
as bridging functions to absorb increasingly more models into the
package. Zelig allows each individual package, for each
statistical model, to be accessed by a common uniformly structured call and
set of arguments. Moreover, Zelig automates all the surrounding building
blocks of a statistical work-flow--procedures and algorithms that may be
essential to one user's application but which the original package
developer did not use in their own research and might not themselves
support. These include bootstrapping, jackknifing, and re-weighting of data.
In particular, Zelig automatically generates predicted and simulated
quantities of interest (such as relative risk ratios, average treatment
effects, first differences and predicted and expected values) to interpret
and visualize complex models.

James Honaker

Zelig

Everyone's Statistical Software

Christine Choirat

Christopher Gandrud

Kosuke Imai

Gary King

Olivia Lau

Robert Treacy

IQSS Harvard University

swiss function

A data frame with 47 observations on 6 variables, each of which
 is in percent, i.e., in [0,100]. 
[,1] Fertility Ig, "common standardized fertility measure"
 [,2] Agriculture 
 [,3] Examination 
nation
 [,4] Education 
 [,5] Catholic 
 [,6] Infant.Mortality live births who live less than 1 year.
All variables but 'Fert' give proportions of the population.

Format

Swiss Fertility and Socioeconomic Indicators (1888) Data — swiss

Swiss Fertility and Socioeconomic Indicators (1888) Data

swiss: Swiss Fertility and Socioeconomic Indicators (1888) Data

Description

Usage

Arguments

Format

References