Applied Techniques to Demographic and Time Series Analysis
23 available
anonymous
Beers multipliers
correlate_df
descriptive_plot
El-Badry method
Exponential growth
Linear growth
Logistic growth
karup_king
Lexis diagram
Life Table
mortality_projection
Moultrie rule for Children Ever Born
Myer's Blended Index
netmigration_projection
op.arima
popstudy Package
population_projection
project_structure
read_from_dir
required_packages
Sprague multipliers
TFR_projection
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>).