This page contains a combination of traditional lecture materials (slides) and code demonstrating the relevant methods. The short course will proceed by working through both. We will use several recent packages in our examples; see the About page for information about the package versions.

library(tidyverse)
library(grpreg)
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## Attaching package: 'Matrix'
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##     expand
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## Attaching package: 'grpreg'
## The following object is masked from 'package:dplyr':
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library(splines)
library(refund)
library(refund.shiny)

In this section we’ll use the NHANES dataset to …

## Functional Principal Components Analysis

Slides below introduce scalar-on-function regression.

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## Practical example

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