autovarCore (version 1.0-4)

autovarCore-package: autovarCore

Description

autovarCore

Details

The DESCRIPTION file: autovarCore autovarCore Please see the help of the autovar function for information on how to use this package.

References

Emerencia, A. C., L. van der Krieke, E. H. Bos, P. de Jonge, N. Petkov and M. Aiello (2016), Automating Vector Autoregression on Electronic Patient Diary Data, IEEE Journal of Biomedical and Health Informatics, 20(2): 631-643, https://doi.org/10.1109/JBHI.2015.2402280

See Also

autovar

Examples

# NOT RUN {
# AutovarCore requires input data in data.frame format.
# If you have data in a .csv, .dta, or .sav file, use
# the 'foreign' library to load this data into R first.
# (You may need to type:
#    install.packages('foreign')
#  if you do not have the foreign library installed on
#  your system.)

# This example data set can be downloaded from
# https://autovar.nl/datasets/aug_pp5_da.sav
suppressWarnings(dfile <- foreign::read.spss('~/Downloads/aug_pp5_da.sav'))
dframe <- data.frame(Activity = dfile$Activity, Depression = dfile$Depression)

# Call autovar with the given data frame. Type:
#   ?autovar
# (after having typed "library('autovarCore')") to see
# which other options are available.
models_found <- autovar(dframe, selected_column_names = c('Activity', 'Depression'))

# Show details for the best model found
print(models_found[[1]])
# }