Package: popstudy
Type: Package
Title: Applied Techniques to Demographic and Time Series Analysis
Version: 1.0.2
Depends: R (>= 3.5.0)
Authors@R: c(
    person("Cesar", "Gamboa-Sanabria", email="info@cesargamboasanabria.com", role=c( "aut", "mdc", "cph", "cre"), comment=c(ORCID = "0000-0001-6733-4759"))
    )
Maintainer: Cesar Gamboa-Sanabria <info@cesargamboasanabria.com>
Description: The use of overparameterization is proposed with
        combinatorial analysis to test a broader spectrum of possible
        ARIMA models. In the selection of ARIMA models, the most
        traditional methods such as correlograms or others, do not
        usually cover many alternatives to define the number of
        coefficients to be estimated in the model, which represents an
        estimation method that is not the best. The popstudy package
        contains several tools for statistical analysis in demography
        and time series based in Shryock research (Shryock et. al.
        (1980) <https://books.google.co.cr/books?id=8Oo6AQAAMAAJ>).
Imports: ggplot2, magrittr, lubridate, dplyr, tidyr, stats, demography,
        forecast, ggpubr, moments, grid, DescTools, rcompanion, utils,
        corrr, Hmisc, corrplot, correlation, parallel, here, stringr,
        scales, rainbow, Rdpack
License: GPL-3
Encoding: UTF-8
RdMacros: Rdpack
LazyData: true
URL: https://www.cesargamboasanabria.com
RoxygenNote: 7.3.2
Suggests: testthat, snow
Config/pak/sysreqs: cmake make libicu-dev libuv1-dev libxml2-dev
        libssl-dev libx11-dev zlib1g-dev
Repository: https://cgamboasanabria.r-universe.dev
Date/Publication: 2025-09-01 18:27:25 UTC
RemoteUrl: https://github.com/cgamboasanabria/popstudy
RemoteRef: HEAD
RemoteSha: b58a40f3f71e73bd9a07053217eaf65584eae28a
NeedsCompilation: no
Packaged: 2026-07-15 05:32:23 UTC; root
Author: Cesar Gamboa-Sanabria [aut, mdc, cph, cre] (ORCID:
    <https://orcid.org/0000-0001-6733-4759>)