Update README

.gitignore

@@ -2,4 +2,3 @@
 .Rhistory
 .RData
 .Ruserdata
-test

DESCRIPTION

@@ -1,7 +1,7 @@
 Package: splintr
 Type: Package
 Title: Natural Cubic SPLines with Interpretable INTercepts
-Version: 1.0.3
+Version: 1.0.4
 Authors@R: person("Simon", "Schoenbuchner",
   email = "sms86@cam.ac.uk",
   role = c("aut", "cre"),
@@ -16,6 +16,6 @@ Encoding: UTF-8
 LazyData: true
 Imports: splines, stats
 RoxygenNote: 7.2.1
-Suggests: 
+Suggests:
     testthat (>= 3.0.0)
 Config/testthat/edition: 3

README.Rmd

@@ -15,11 +15,13 @@ knitr::opts_chunk$set(
 
 # splintr
 
-[![R build status](https://github.com/simisc/splintr/workflows/R-CMD-check/badge.svg)](https://github.com/simisc/splintr/actions)
+<!-- badges: start -->
+[![check-standard](https://github.com/simisc/splintr/actions/workflows/check-standard.yaml/badge.svg)](https://github.com/simisc/splintr/actions/workflows/check-standard.yaml)
 [![DOI](https://zenodo.org/badge/141533742.svg)](https://zenodo.org/badge/latestdoi/141533742)
 [![Licence](https://img.shields.io/github/license/simisc/splintr)](https://github.com/simisc/splintr/blob/master/LICENSE)
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 Natural cubic splines with interpretable intercepts: 'centres' a basis generated using `splines::ns()` on a specified x-value. When used in a model formula, this allows the model intercept to be interpreted with respect to that central x-value, rather than with respect to the x-value of the first `splines::ns()` knot.
 
@@ -110,7 +112,7 @@ augment(model_fits[[1]], data = women) %>%
   ggplot(aes(x = height)) +
   geom_point(aes(y = weight)) +
   geom_line(aes(y = .fitted), col = "blue") +
-  geom_point(data = int_pts, aes(x = x, y = y), col = "red") + 
+  geom_point(data = int_pts, aes(x = x, y = y), col = "red") +
   geom_label_repel(data = int_pts, aes(x = x, y = y, label = model),
                    col = "red", nudge_y = 7) +
   theme_few()