diff --git a/docs/articles/jlmerclusterperm.html b/docs/articles/jlmerclusterperm.html index 8c0b7e3..283f394 100644 --- a/docs/articles/jlmerclusterperm.html +++ b/docs/articles/jlmerclusterperm.html @@ -140,9 +140,7 @@

Overview of CPA

Package design

-
-jlmerclusterperm package function design
jlmerclusterperm package function design
-
+

jlmerclusterperm provides both a wholesale and a piecemeal approach to conducting a CPA. The main workhorse function in the package is clusterpermute(), which is composed of five diff --git a/vignettes/jlmerclusterperm.Rmd b/vignettes/jlmerclusterperm.Rmd index c6e38a4..9ead148 100644 --- a/vignettes/jlmerclusterperm.Rmd +++ b/vignettes/jlmerclusterperm.Rmd @@ -30,7 +30,9 @@ The CPA procedure identifies empirical clusters in a time series data and tests ## Package design -![jlmerclusterperm package function design](https://raw.githubusercontent.com/yjunechoe/jlmerclusterperm/main/man/figures/jlmerclusterperm_fn_design.png) +```{r, echo = FALSE, out.width="100%"} +knitr::include_graphics("https://raw.githubusercontent.com/yjunechoe/jlmerclusterperm/main/man/figures/jlmerclusterperm_fn_design.png") +``` `jlmerclusterperm` provides both a wholesale and a piecemeal approach to conducting a CPA. The main workhorse function in the package is `clusterpermute()`, which is composed of five smaller functions that are called internally in succession. The smaller functions representing the algorithmic steps of a CPA are also exported, to allow more control over the procedure (e.g., for debugging and diagnosing a CPA run).