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README.Rmd
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---
output: github_document
---
<!-- README.md is generated from README.Rmd. Please edit that file -->
```{r, include = FALSE}
knitr::opts_chunk$set(
collapse = TRUE,
comment = "#>",
fig.path = "man/figures/README-",
out.width = "100%"
)
```
# trendfilter
<!-- badges: start -->
[](https://github.com/glmgen/trendfilter/actions/workflows/R-CMD-check.yaml)
<!-- badges: end -->
The goal of trendfilter is to **solve** nonparametric regression.
## Installation
You can install the development version of trendfilter from
[GitHub](https://github.com/) with:
``` r
# install.packages("remotes")
remotes::install_github("glmgen/trendfilter")
```
## Example
This is a basic example which shows you how to solve a common problem:
```{r example, dev='svg'}
library(trendfilter)
library(ggplot2)
x <- 1:100 / 101 * 2 * pi
y <- sin(x) + .2 * rnorm(100)
out <- trendfilter(y, x, nlambda = 15)
plot(out) +
geom_point(data = data.frame(x = x, y = y), aes(x, y), color = "black")
```