add Acknowledgements

README.Rmd

@@ -100,7 +100,7 @@ read_file(interlacer_example("colors.csv")) |>
 In this csv file, values are interlaced with three possible missing reasons:
 `REFUSED`, `OMITTED`, and `N/A`.
 
-With `readr`, loading these data would result in a data frame like this:
+With readr, loading these data would result in a data frame like this:
 
 ```{r}
 read_csv(
@@ -168,3 +168,7 @@ options(interlacer.print_validation = FALSE)
 When `interlacer.print_validation = FALSE`, you will need to be extra careful
 during mutations, because if you create an invalid state you won't get a
 warning!
+
+## Acknowledgements
+
+The development of this software was supported, in whole or in part, by the Institute of Education Sciences, U.S. Department of Education, through Grant R305A170047 to The Pennsylvania State University. The opinions expressed are those of the authors and do not represent the views of the Institute or the U.S. Department of Education.

README.md

@@ -105,7 +105,7 @@ read_file(interlacer_example("colors.csv")) |>
 In this csv file, values are interlaced with three possible missing
 reasons: `REFUSED`, `OMITTED`, and `N/A`.
 
-With `readr`, loading these data would result in a data frame like this:
+With readr, loading these data would result in a data frame like this:
 
 ``` r
 read_csv(
@@ -217,3 +217,11 @@ options(interlacer.print_validation = FALSE)
 When `interlacer.print_validation = FALSE`, you will need to be extra
 careful during mutations, because if you create an invalid state you
 won’t get a warning!
+
+## Acknowledgements
+
+The development of this software was supported, in whole or in part, by
+the Institute of Education Sciences, U.S. Department of Education,
+through Grant R305A170047 to The Pennsylvania State University. The
+opinions expressed are those of the authors and do not represent the
+views of the Institute or the U.S. Department of Education.