Fix vignette error

.github/workflows/test-coverage.yaml

@@ -0,0 +1,50 @@
+# Workflow derived from https://github.com/r-lib/actions/tree/v2/examples
+# Need help debugging build failures? Start at https://github.com/r-lib/actions#where-to-find-help
+on:
+  push:
+    branches: [main, master]
+  pull_request:
+    branches: [main, master]
+
+name: test-coverage
+
+jobs:
+  test-coverage:
+    runs-on: ubuntu-latest
+    env:
+      GITHUB_PAT: ${{ secrets.GITHUB_TOKEN }}
+
+    steps:
+      - uses: actions/checkout@v4
+
+      - uses: r-lib/actions/setup-r@v2
+        with:
+          use-public-rspm: true
+
+      - uses: r-lib/actions/setup-r-dependencies@v2
+        with:
+          extra-packages: any::covr
+          needs: coverage
+
+      - name: Test coverage
+        run: |
+          covr::codecov(
+            quiet = FALSE,
+            clean = FALSE,
+            install_path = file.path(normalizePath(Sys.getenv("RUNNER_TEMP"), winslash = "/"), "package")
+          )
+        shell: Rscript {0}
+
+      - name: Show testthat output
+        if: always()
+        run: |
+          ## --------------------------------------------------------------------
+          find '${{ runner.temp }}/package' -name 'testthat.Rout*' -exec cat '{}' \; || true
+        shell: bash
+
+      - name: Upload test results
+        if: failure()
+        uses: actions/upload-artifact@v4
+        with:
+          name: coverage-test-failures
+          path: ${{ runner.temp }}/package

DESCRIPTION

@@ -1,6 +1,6 @@
 Package: iprior
 Title: Regression Modelling using I-Priors
-Version: 0.7.3.9001
+Version: 0.7.4
 Authors@R: person("Haziq", "Jamil", email = "haziq.jamil@gmail.com",
                   role = c("aut", "cre"))
 Encoding: UTF-8

R/Kernel_loader.R

@@ -74,6 +74,7 @@
 #'   should be used for training, and the remaining used for testing.
 #' @param test.samp (Optional) Similar to \code{train.samp}, but on test samples
 #'   instead.
+#' @param intercept (Optional) Intercept for response variables.
 #'
 #' @return An \code{ipriorKernel} object which contains the relevant material to
 #'   be passed to the \code{iprior} function for model fitting.
@@ -205,7 +206,7 @@ if (as.numeric(nystrom[1]) > 0 & as.numeric(nystrom[1]) != n) {
     if (!is.null(nys.seed)) set.seed(nys.seed)
     nys.samp <- sample(seq_along(y))
   }
-  
+
   y.tmp <- y[nys.samp]
   mostattributes(y.tmp) <- attributes(y)
   y <- y.tmp

README.md

@@ -2,14 +2,14 @@
 
 <!-- badges: start -->
 [![R-CMD-check](https://github.com/haziqj/iprior/actions/workflows/R-CMD-check.yaml/badge.svg)](https://github.com/haziqj/iprior/actions/workflows/R-CMD-check.yaml)
-<!-- [![Build Status](https://travis-ci.org/haziqj/iprior.svg?branch=master)](https://travis-ci.org/haziqj/iprior)
-[![AppVeyor Build Status](https://ci.appveyor.com/api/projects/status/github/haziqj/iprior?branch=master&svg=true)](https://ci.appveyor.com/project/haziqj/iprior)
-[![Coverage Status](https://img.shields.io/codecov/c/github/haziqj/iprior/master.svg)](https://codecov.io/gh/haziqj/iprior) -->
+[![test-coverage](https://github.com/haziqj/iprior/actions/workflows/test-coverage.yaml/badge.svg)](https://github.com/haziqj/iprior/actions/workflows/test-coverage.yaml)
 [![CRAN_Status_Badge_version_ago](http://www.r-pkg.org/badges/version-ago/iprior)](https://cran.r-project.org/package=iprior)
 [![CRAN downloads](http://cranlogs.r-pkg.org/badges/grand-total/iprior)](https://cran.r-project.org/package=iprior)
 <!-- badges: end -->
 
-
+<!-- [![Build Status](https://travis-ci.org/haziqj/iprior.svg?branch=master)](https://travis-ci.org/haziqj/iprior)
+[![AppVeyor Build Status](https://ci.appveyor.com/api/projects/status/github/haziqj/iprior?branch=master&svg=true)](https://ci.appveyor.com/project/haziqj/iprior)
+[![Coverage Status](https://img.shields.io/codecov/c/github/haziqj/iprior/master.svg)](https://codecov.io/gh/haziqj/iprior) -->
 
 Based on the manuscript entitled "Regression and Classification with I-priors" by Wicher Bergsma (2018, [arXiv:1707.00274](https://arxiv.org/abs/1707.00274)). 
 In a general regression setting, priors can be assigned to the regression function in a vector space framework, and the posterior estimate of the regression function obtained. 

vignettes/tecator.Rmd

@@ -4,7 +4,7 @@ author: "Haziq Jamil"
 date: "`r Sys.Date()`"
 output: rmarkdown::html_vignette
 vignette: >
-  %\VignetteIndexEntry{Cross-validation analysis of the Tecator data set}
+  %\VignetteIndexEntry{Regression with a functional covariate: Cross-validation analysis of the Tecator data set}
   %\VignetteEngine{knitr::rmarkdown}
   %\VignetteEncoding{UTF-8}
   %\VignetteDepends{iprior,caret}