Title: Create Credit State Migration (Transition) Matrices
Description: Tools to help convert credit risk data at two time points
into traditional credit state migration (aka, "transition") matrices.
At a higher level, 'migrate' is intended to help an analyst understand
how risk moved in their credit portfolio over a time interval.
(>= 1.4.0), tibble (>= 3.0.1), rlang, utils, magrittr

Author: Lajos Bálint <balint@demografia.hu> and Gergely Daróczi
Description: This package provides various indices, like Crude
Migration Rate, different Gini indices or the Coefficient of
Variation among others, to show the (un)equality of migration.
Collate: 'gini.R' 'migration.indices.R' 'crude.R' 'others.R' 'acv.R'

Description: This package provides various indices, like Crude Migration Rate,
different Gini indices or the Coefficient of Variation among others, to

Description: Calculate various indices, like Crude Migration Rate,

Title: Production Rules Based Classification of Migration
Description: Provides mechanisms for classifying border crossings using a rules-based methodology. The goal of performing this type of classification is to identify any potential long-term migrants.  A long-term migration is defined as a border crossing involving a change in residence status. A border crossing counts as a long-term migration to/from a country if it entails a change from non-residence to residence / residence to non-residence.  The rules-based classification that used to determine a long-term migration is defined by a threshold duration and a test duration, alternatively named window size. Under a 12/16 rule, for instance, the threshold duration is 12 months and the test duration (window size) is 16 months. With a 9/12 rule, the threshold duration is 9 months and the test duration (window size)  is 12 months. For more information about the methodology applied, please visit Stats NZ (2020) <https://www.stats.govt.nz/methods/defining-migrants-using-travel-histories-and-the-1216-month-rule>.
Imports: Rcpp (>= 1.0), lubridate (>= 1.7), stringr (>= 1.4), dplyr (>=
Suggests: magrittr, tools, knitr, rmarkdown, testthat