README.md

In StatisticsNZ/demest: Bayesian Demographic Estimation and Forecasting

demest

Bayesian demographic estimation and forecasting.

demest provides tools for making inferences about cross-classified rates, probabilities, means, and counts, using Bayesian methods. The software and methods are still under development.

The main functions are:

• estimateModel: estimate rates, probabilities, or means from a single reliable dataset.

• estimateCounts: estimate counts, and the associated rates or probabilities, from multiple noisy datasets.

• estimateCounts: estimate a demographic account, and the associated rates or probabilities, from multiple noisy datasets. estimateAccount is not finished yet.

demest uses functions and data structures from package dembase.

Install demest from github with: {r, echo = FALSE} library(devtools) install_github("StatisticsNZ/demest", build_vignettes = TRUE)

Copyright and Licensing

The package is Crown copyright (c) 2016, Statistics New Zealand on behalf of the New Zealand Government, and is licensed under the MIT License (see LICENSE file).

This document is Crown copyright (c) 2016, Statistics New Zealand on behalf of the New Zealand Government, and is licensed under the Creative Commons Attribution 4.0 International License. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ or send a letter to Creative Commons, PO Box 1866, Mountain View, CA 94042, USA.

StatisticsNZ/demest documentation built on Nov. 2, 2023, 7:56 p.m.