Forecast v7 (part 2)

June 1, 2016
By

(This article was first published on R on Rob J Hyndman, and kindly contributed to R-bloggers)

As mentioned in my previous post on the forecast package v7, the most visible feature was the introduction of ggplot2 graphics. This post briefly summarizes the remaining new features of forecast v7.
library(forecast) library(ggplot2) tslm rewritten The tslm function is designed to fit linear models to time series data. It is intended to approximately mimic lm (and calls lm to do the estimation), but to package the output to remember the ts attributes.

To leave a comment for the author, please follow the link and comment on their blog: R on Rob J Hyndman.

R-bloggers.com offers daily e-mail updates about R news and tutorials on topics such as: Data science, Big Data, R jobs, visualization (ggplot2, Boxplots, maps, animation), programming (RStudio, Sweave, LaTeX, SQL, Eclipse, git, hadoop, Web Scraping) statistics (regression, PCA, time series, trading) and more...



If you got this far, why not subscribe for updates from the site? Choose your flavor: e-mail, twitter, RSS, or facebook...

Comments are closed.

Search R-bloggers

Sponsors

Never miss an update!
Subscribe to R-bloggers to receive
e-mails with the latest R posts.
(You will not see this message again.)

Click here to close (This popup will not appear again)