inst/doc/articles.R

In inlabru: Bayesian Latent Gaussian Modelling using INLA and Extensions

## ----include = FALSE----------------------------------------------------------
knitr::opts_chunk$set(
  collapse = TRUE,
  comment = "#>"
)

## ----setup, echo=FALSE,include=FALSE------------------------------------------

## ----echo=FALSE,results="asis"------------------------------------------------
files <- list.files("articles", "\\.Rmd$")
for (file in file.path("articles", files)) {
  lines <- readLines(file, n = 10)
  title_idx <- grep("^title: ", lines)
  if (length(title_idx) > 0) {
    title <- sub("^title: ", "", lines[title_idx[1]])
    title <- sub('^"', "", title)
    title <- sub('"$', "", title)
    cat("* [",
      title,
      "](https://inlabru-org.github.io/inlabru/articles/",
      sub("\\.Rmd", ".html", basename(file)),
      ")\n",
      sep = ""
    )
  }
}

## ----echo=FALSE,results="asis"------------------------------------------------
files <- list.files(".", "\\.Rmd$")
for (file in files) {
  lines <- readLines(file, n = 10)
  title_idx <- grep("^title: ", lines)
  if (length(title_idx) > 0) {
    title <- sub("^title: ", "", lines[title_idx[1]])
    title <- sub('^"', "", title)
    title <- sub('"$', "", title)
    cat("* [",
      title,
      "](https://inlabru-org.github.io/inlabru/articles/",
      sub("\\.Rmd", ".html", file),
      ")\n",
      sep = ""
    )
  }
}