| humanleague {humanleague} | R Documentation |
humanleague
Description
R package for synthesising populations from aggregate and (optionally) seed data
Details
See README.md for detailed information and examples.
Overview
The package contains algorithms that use a number of different microsynthesis techniques:
Iterative Proportional Fitting (IPF), a la mipfp package
Quasirandom Integer Sampling (QIS) (no seed population) -
Quasirandom Integer Sampling of IPF (QISI): A combination of the two techniques whereby IPF solutions are used to sample an integer population.
The latter provides a bridge between deterministic reweighting and combinatorial optimisation, offering advantages of both techniques:
generates high-entropy integral populations
can be used to generate multiple populations for sensitivity analysis
is less sensitive than IPF to convergence issues when there are a high number of empty cells present in the seed
relatively fast computation time, though running time is linear in population
The algorithms:
support arbitrary dimensionality* for both the marginals and the seed.
produce statistical data to ascertain the likelihood/degeneracy of the population (where appropriate).
[* excluding the legacy functions retained for backward compatibility with version 1.0.1]
The package also contains the following utility functions:
a Sobol sequence generator -
functionality to convert fractional to nearest-integer marginals (in 1D). This can also be achieved in multiple dimensions by using the QISI algorithm.
functionality to 'flatten' a population into a table: this converts a multidimensional array containing the population count for each state into a table listing individuals and their characteristics.