popstudy: Applied Techniques to Demographic and Time Series Analysis

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>).

Version: 1.0.0
Depends: R (≥ 3.5.0)
Imports: ggplot2, magrittr, lubridate, dplyr, tidyr, stats, demography, forecast, zoo, ggpubr, moments, grid, stackoverflow, DescTools, rcompanion, utils, corrr, Hmisc, psych, corrplot, correlation, parallel, here, stringr, scales, rainbow, Rdpack
Suggests: testthat, snow
Published: 2022-06-06
Author: Cesar Gamboa-Sanabria ORCID iD [aut, mdc, cph, cre]
Maintainer: Cesar Gamboa-Sanabria <info at cesargamboasanabria.com>
License: GPL-3
URL: https://www.cesargamboasanabria.com
NeedsCompilation: no
Materials: README
CRAN checks: popstudy results


Reference manual: popstudy.pdf


Package source: popstudy_1.0.0.tar.gz
Windows binaries: r-devel: popstudy_1.0.0.zip, r-release: popstudy_1.0.0.zip, r-oldrel: popstudy_1.0.0.zip
macOS binaries: r-release (arm64): popstudy_1.0.0.tgz, r-oldrel (arm64): popstudy_1.0.0.tgz, r-release (x86_64): popstudy_1.0.0.tgz, r-oldrel (x86_64): popstudy_1.0.0.tgz


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