Nothing

library(knitr) knitr::opts_chunk$set( fig.align = "center", fig.height = 5.5, fig.width = 6, warning = FALSE, collapse = TRUE, dev.args = list(pointsize = 10), out.width = "90%", par = TRUE ) knit_hooks$set(par = function(before, options, envir) { if (before && options$fig.show != "none") par(family = "sans", mar = c(4.1,4.1,1.1,1.1), mgp = c(3,1,0), tcl = -0.5) })

```
library(samurais)
```

**PWR**: Piecewise Regression (PWR) for time series (or structured
longitudinal data) modeling and optimal segmentation by using dynamic
programming.

It was written in R Markdown, using the knitr package for production.

See `help(package="samurais")`

for further details and references provided by `citation("samurais")`

.

data("univtoydataset")

K <- 5 # Number of segments p <- 3 # Polynomial degree

pwr <- fitPWRFisher(univtoydataset$x, univtoydataset$y, K, p)

pwr$summary()

pwr$plot(what = "regressors")

pwr$plot(what = "segmentation")

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