[This article was first published on R Video Blog! , and kindly contributed to R-bloggers]. (You can report issue about the content on this page here)
Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.
Local polynomial regression models can be used as a more flexible alternative to linear regression. However, the nonparametric regression models are slightly more difficult to estimate and interpret than linear regression. This video explains almost everything you need to know about local polynomial models in R including choosing the bandwidth, estimating the model, plotting the regression, and estimating marginal effects. I use Wand and Ripley’s KernSmooth package. Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.
To leave a comment for the author, please follow the link and comment on their blog: R Video Blog! .
R-bloggers.com offers daily e-mail updates about R news and tutorials about learning R and many other topics. Click here if you're looking to post or find an R/data-science job.
Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.