Multivariate time series analysis

[ksasi2k3]

I ma trying to fit a multivariate time series analysis : here is a sample data

date            country   sale
1/01/2018   USA      381
2/01/2018   USA      818
3/01/2018   USA      108
1/01/2018   UK        381
2/01/2018   UK        818
3/01/2018   Uk        222
1/01/2018   Hun     381
2/01/2018   Hun     818
3/01/2018   Hun     233
1/01/2018   Li          381
2/01/2018   Li          818
3/01/2018   Li          233

I want to implement multivariate analysis for this time series, here I have two variables as country and sale. so I need to predict for next 2 years based on values.

I found "tsibble" and "fable" could do this but unable to install "fable", am getting error as"
"Error: package or namespace load failed for ‘fabletools’ in loadNamespace(j <- i[[1L]], c(lib.loc, .libPaths()), versionCheck = vI[[j]]):

• namespace ‘tidyr’ 0.8.1 is already loaded, but >= 1.1.0 is required*
  Error: package ‘fabletools’ could not be loaded"

Any help on the above

[fredoxvii]

It's this a question about time series analysis, or about the fable error that you are getting?

[jeremy]

Start with solving the tidyr version error. Run install.packages("tidyr") to get the latest version.

Then try ch 5 here https://otexts.com/fpp2/

[ksasi2k3]

Its about time series for multivariate analysis, but found a solution based on "fable". So tried that but got error, hence provided that error message. But ultimate goal is to build a multivariate time series model in R. Any example or idea would help.

[ksasi2k3]

Thank you Jeremy, installed fable now, will explore. Any example or idea would help.

[jeremy]

I have not tried this, so I cannot vouch for its validity, but this looks like it might be what you want https://bookdown.org/singh_pratap_tejendra/intro_time_series_r/multivariate-ts-analysis.html

There is not much else I can do to help. Hopefully this gives you enough to get started.