diff --git a/R/fisher_information.R b/R/fisher_information.R
index 795ba57..e78cc8b 100644
--- a/R/fisher_information.R
+++ b/R/fisher_information.R
@@ -73,6 +73,9 @@ fi_pool_cluster <- function(pool_size,
                             specificity,
                             form = "beta",
                             real_scale = FALSE) {
+
+  check_input("real_scale", real_scale)
+
   s <- pool_size
   N <- pool_number
   K <- length(N)
diff --git a/dev_resources/README.md b/dev_resources/README.md
index b581b4f..6ee596f 100644
--- a/dev_resources/README.md
+++ b/dev_resources/README.md
@@ -1,12 +1,36 @@
-# Function dependencies  
+# Developer resources and instructions  
+
+**While developing**
+- Regularly run `test()` or `test_active_file()`
+
+**Before committing**
+- Run `check()`, address any errors, warnings and notes
+
+**Before pushing**
+- Sync with origin/main
+- Address any conflicts
+- Run dependency graph
+- Run `test-coverage`  
+
+## Function dependency graph  
 
-Code to generate the function dependency graph:  
 ```r
-devtools::install_github("datastorm-open/DependenciesGraphs")
+#devtools::install_github("datastorm-open/DependenciesGraphs")
 library(DependenciesGraphs)
 load_all()
 dep <- envirDependencies("package:PoolPoweR")
 plot(dep)
 ```
 
-![](https://raw.githubusercontent.com/AngusMcLure/PoolPoweR/main/dependencies/dep.png?token=GHSAT0AAAAAACICLPCIT5EJVC32Y7QQITYCZKJTYEA)
+![](https://raw.githubusercontent.com/AngusMcLure/PoolPoweR/main/dependencies/dep.png?token=GHSAT0AAAAAACICLPCIT5EJVC32Y7QQITYCZKJTYEA)  
+
+## Test coverage  
+
+```r
+library(covr)
+cov <- package_coverage()
+write.csv(cov, "dev_resources/coverage_report.csv", quote = F, row.names = F)
+
+# To show report markup in RStudio
+report(cov)
+```
diff --git a/dev_resources/coverage_report.csv b/dev_resources/coverage_report.csv
index c249242..57c2a9c 100644
--- a/dev_resources/coverage_report.csv
+++ b/dev_resources/coverage_report.csv
@@ -1,17 +1,17 @@
 filename,functions,first_line,first_byte,last_line,last_byte,first_column,last_column,first_parsed,last_parsed,value
-R/check_input.R,check_input,4,3,4,77,3,77,6,6,242
-R/check_input.R,check_input,5,3,5,29,3,29,7,7,242
-R/check_input.R,check_input,6,3,6,56,3,56,8,8,242
-R/check_input.R,check_input,8,6,8,28,6,28,8,8,242
+R/check_input.R,check_input,4,3,4,77,3,77,6,6,475
+R/check_input.R,check_input,5,3,5,29,3,29,7,7,475
+R/check_input.R,check_input,6,3,6,56,3,56,8,8,475
+R/check_input.R,check_input,8,6,8,28,6,28,8,8,475
 R/check_input.R,check_input,8,31,8,76,31,76,8,8,62
-R/check_input.R,check_input,9,11,9,33,11,33,9,9,180
+R/check_input.R,check_input,9,11,9,33,11,33,9,9,413
 R/check_input.R,check_input,9,36,9,81,36,81,9,9,32
-R/check_input.R,check_input,10,11,10,34,11,34,10,10,148
+R/check_input.R,check_input,10,11,10,34,11,34,10,10,381
 R/check_input.R,check_input,10,37,10,78,37,78,10,10,90
-R/check_input.R,check_input,11,11,11,33,11,33,11,11,58
+R/check_input.R,check_input,11,11,11,33,11,33,11,11,291
 R/check_input.R,check_input,11,36,11,58,36,58,11,11,5
-R/check_input.R,check_input,12,11,12,39,11,39,12,12,53
-R/check_input.R,check_input,12,42,12,65,42,65,12,12,0
+R/check_input.R,check_input,12,11,12,39,11,39,12,12,286
+R/check_input.R,check_input,12,42,12,65,42,65,12,12,233
 R/check_input.R,check_input,13,11,13,41,11,41,13,13,53
 R/check_input.R,check_input,13,44,13,74,44,74,13,13,24
 R/check_input.R,check_geq,20,3,21,52,3,52,22,23,100
@@ -49,9 +49,9 @@ R/check_input.R,check_rho,63,19,63,50,19,50,63,63,1
 R/check_input.R,check_form,69,3,69,60,3,60,71,71,8
 R/check_input.R,check_form,70,6,70,21,6,21,70,70,8
 R/check_input.R,check_form,71,5,71,94,5,94,73,73,3
-R/check_input.R,check_scale,76,6,76,28,6,28,76,76,3
-R/check_input.R,check_scale,77,5,77,51,5,51,79,79,2
-R/check_input.R,check_scale,78,5,78,54,5,54,80,80,2
+R/check_input.R,check_scale,76,6,76,28,6,28,76,76,236
+R/check_input.R,check_scale,77,5,77,51,5,51,79,79,4
+R/check_input.R,check_scale,78,5,78,54,5,54,80,80,4
 R/check_input.R,check_cost_cluster,84,3,84,73,3,73,86,86,28
 R/check_input.R,check_cost_cluster,85,6,85,53,6,53,85,85,28
 R/check_input.R,check_cost_cluster,86,5,86,22,5,22,88,88,1
@@ -74,294 +74,295 @@ R/fisher_information.R,fi_pool,57,3,57,23,3,23,226,226,343
 R/fisher_information.R,fi_pool,58,3,58,20,3,20,227,227,343
 R/fisher_information.R,fi_pool,60,3,60,16,3,16,229,229,343
 R/fisher_information.R,fi_pool,61,3,63,47,3,47,230,232,343
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 R/optimise_prevalence.R,optimise_s_prevalence,90,7,90,18,7,18,90,90,22
 R/optimise_prevalence.R,optimise_s_prevalence,90,21,90,56,21,56,90,90,1
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 R/optimise_prevalence.R,optimise_s_prevalence,102,7,102,22,7,22,102,102,21
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-R/optimise_prevalence.R,optimise_s_prevalence,126,5,136,5,5,5,760,770,12
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-R/optimise_prevalence.R,optimise_s_prevalence,139,3,139,43,3,43,773,773,21
-R/optimise_prevalence.R,optimise_s_prevalence,140,3,140,48,3,48,774,774,20
-R/optimise_prevalence.R,optimise_s_prevalence,141,3,141,44,3,44,775,775,20
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+R/optimise_prevalence.R,optimise_s_prevalence,123,7,123,9,7,9,760,760,336
+R/optimise_prevalence.R,optimise_s_prevalence,126,5,136,5,5,5,763,773,12
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-R/optimise_prevalence.R,optimise_s_prevalence,144,5,144,29,5,29,778,778,9
-R/optimise_prevalence.R,optimise_s_prevalence,145,5,145,32,5,32,779,779,9
-R/optimise_prevalence.R,optimise_s_prevalence,147,5,147,27,5,27,781,781,11
-R/optimise_prevalence.R,optimise_s_prevalence,148,5,148,30,5,30,782,782,11
+R/optimise_prevalence.R,optimise_s_prevalence,144,5,144,29,5,29,781,781,9
+R/optimise_prevalence.R,optimise_s_prevalence,145,5,145,32,5,32,782,782,9
+R/optimise_prevalence.R,optimise_s_prevalence,147,5,147,27,5,27,784,784,11
+R/optimise_prevalence.R,optimise_s_prevalence,148,5,148,30,5,30,785,785,11
 R/optimise_prevalence.R,optimise_s_prevalence,151,7,151,16,7,16,151,151,20
 R/optimise_prevalence.R,optimise_s_prevalence,151,19,151,139,19,139,151,151,1
 R/optimise_prevalence.R,optimise_s_prevalence,153,7,153,19,7,19,153,153,20
 R/optimise_prevalence.R,optimise_s_prevalence,154,9,154,20,9,20,154,154,15
 R/optimise_prevalence.R,optimise_s_prevalence,154,23,154,36,23,36,154,154,1
-R/optimise_prevalence.R,optimise_s_prevalence,155,5,155,55,5,55,789,789,15
+R/optimise_prevalence.R,optimise_s_prevalence,155,5,155,55,5,55,792,792,15
 R/optimise_prevalence.R,optimise_s_prevalence,156,14,156,25,14,25,156,156,5
-R/optimise_prevalence.R,optimise_s_prevalence,157,5,157,41,5,41,791,791,5
+R/optimise_prevalence.R,optimise_s_prevalence,157,5,157,41,5,41,794,794,5
 R/optimise_prevalence.R,optimise_s_prevalence,158,9,158,26,9,26,158,158,5
-R/optimise_prevalence.R,optimise_s_prevalence,159,7,159,16,7,16,793,793,2
-R/optimise_prevalence.R,optimise_s_prevalence,161,7,163,23,7,23,795,797,3
-R/optimise_prevalence.R,optimise_s_prevalence,162,9,162,26,9,26,796,796,26
+R/optimise_prevalence.R,optimise_s_prevalence,159,7,159,16,7,16,796,796,2
+R/optimise_prevalence.R,optimise_s_prevalence,161,7,163,23,7,23,798,800,3
+R/optimise_prevalence.R,optimise_s_prevalence,162,9,162,26,9,26,799,799,26
 R/optimise_prevalence.R,optimise_s_prevalence,165,9,165,30,9,30,165,165,5
-R/optimise_prevalence.R,optimise_s_prevalence,166,7,166,20,7,20,800,800,1
-R/optimise_prevalence.R,optimise_s_prevalence,167,7,167,132,7,132,801,801,1
-R/optimise_prevalence.R,optimise_s_prevalence,169,7,171,27,7,27,803,805,4
-R/optimise_prevalence.R,optimise_s_prevalence,170,9,170,26,9,26,804,804,52
+R/optimise_prevalence.R,optimise_s_prevalence,166,7,166,20,7,20,803,803,1
+R/optimise_prevalence.R,optimise_s_prevalence,167,7,167,132,7,132,804,804,1
+R/optimise_prevalence.R,optimise_s_prevalence,169,7,171,27,7,27,806,808,4
+R/optimise_prevalence.R,optimise_s_prevalence,170,9,170,26,9,26,807,807,52
 R/optimise_prevalence.R,optimise_s_prevalence,173,9,173,20,9,20,173,173,5
-R/optimise_prevalence.R,optimise_s_prevalence,174,7,174,20,7,20,808,808,2
-R/optimise_prevalence.R,optimise_s_prevalence,175,7,175,25,7,25,809,809,2
-R/optimise_prevalence.R,optimise_s_prevalence,177,7,177,50,7,50,811,811,3
-R/optimise_prevalence.R,optimise_s_prevalence,179,5,186,5,5,5,813,820,5
-R/optimise_prevalence.R,optimise_s_prevalence,188,3,188,5,3,5,822,822,5
-R/optimise_prevalence.R,optimise_sN_prevalence,205,3,205,29,3,29,839,839,8
+R/optimise_prevalence.R,optimise_s_prevalence,174,7,174,20,7,20,811,811,2
+R/optimise_prevalence.R,optimise_s_prevalence,175,7,175,25,7,25,812,812,2
+R/optimise_prevalence.R,optimise_s_prevalence,177,7,177,50,7,50,814,814,3
+R/optimise_prevalence.R,optimise_s_prevalence,179,5,186,5,5,5,816,823,5
+R/optimise_prevalence.R,optimise_s_prevalence,188,3,188,5,3,5,825,825,5
+R/optimise_prevalence.R,optimise_sN_prevalence,205,3,205,29,3,29,842,842,8
 R/optimise_prevalence.R,optimise_sN_prevalence,209,7,209,44,7,44,209,209,6
-R/optimise_prevalence.R,optimise_sN_prevalence,210,5,213,5,5,5,844,847,1
-R/optimise_prevalence.R,optimise_sN_prevalence,215,5,215,48,5,48,849,849,1
-R/optimise_prevalence.R,optimise_sN_prevalence,216,5,216,22,5,22,850,850,1
-R/optimise_prevalence.R,optimise_sN_prevalence,218,5,218,13,5,13,852,852,5
-R/optimise_prevalence.R,optimise_sN_prevalence,219,5,219,27,5,27,853,853,5
-R/optimise_prevalence.R,optimise_sN_prevalence,220,5,232,5,5,5,854,866,5
-R/optimise_prevalence.R,optimise_sN_prevalence,221,7,224,7,7,7,855,858,12
+R/optimise_prevalence.R,optimise_sN_prevalence,210,5,213,5,5,5,847,850,1
+R/optimise_prevalence.R,optimise_sN_prevalence,215,5,215,48,5,48,852,852,1
+R/optimise_prevalence.R,optimise_sN_prevalence,216,5,216,22,5,22,853,853,1
+R/optimise_prevalence.R,optimise_sN_prevalence,218,5,218,13,5,13,855,855,5
+R/optimise_prevalence.R,optimise_sN_prevalence,219,5,219,27,5,27,856,856,5
+R/optimise_prevalence.R,optimise_sN_prevalence,220,5,232,5,5,5,857,869,5
+R/optimise_prevalence.R,optimise_sN_prevalence,221,7,224,7,7,7,858,861,12
 R/optimise_prevalence.R,optimise_sN_prevalence,226,11,226,33,11,33,226,226,11
-R/optimise_prevalence.R,optimise_sN_prevalence,227,9,227,13,9,13,861,861,3
-R/optimise_prevalence.R,optimise_sN_prevalence,229,9,229,24,9,24,863,863,8
-R/optimise_prevalence.R,optimise_sN_prevalence,230,9,230,22,9,22,864,864,8
-R/optimise_prevalence.R,optimise_sN_prevalence,233,5,233,17,5,17,867,867,4
+R/optimise_prevalence.R,optimise_sN_prevalence,227,9,227,13,9,13,864,864,3
+R/optimise_prevalence.R,optimise_sN_prevalence,229,9,229,24,9,24,866,866,8
+R/optimise_prevalence.R,optimise_sN_prevalence,230,9,230,22,9,22,867,867,8
+R/optimise_prevalence.R,optimise_sN_prevalence,233,5,233,17,5,17,870,870,4
 R/optimise_prevalence.R,optimise_sN_prevalence,234,9,234,22,9,22,234,234,4
-R/optimise_prevalence.R,optimise_sN_prevalence,235,7,235,129,7,129,869,869,1
+R/optimise_prevalence.R,optimise_sN_prevalence,235,7,235,129,7,129,872,872,1
 R/optimise_prevalence.R,optimise_sN_prevalence,237,9,237,22,9,22,237,237,4
-R/optimise_prevalence.R,optimise_sN_prevalence,238,7,238,127,7,127,872,872,0
-R/optimise_prevalence.R,optimise_sN_prevalence,242,3,242,5,3,5,876,876,5
-R/optimise_prevalence.R,cost_fi,246,3,247,60,3,60,880,881,336
-R/optimise_prevalence.R,cost_fi_cluster,260,3,260,16,3,16,894,894,221
-R/optimise_prevalence.R,cost_fi_cluster,261,3,261,18,3,18,895,895,221
-R/optimise_prevalence.R,cost_fi_cluster,263,3,263,86,3,86,897,897,221
-R/optimise_prevalence.R,cost_fi_cluster,264,3,264,68,3,68,898,898,220
-R/optimise_prevalence.R,cost_fi_cluster,266,3,266,24,3,24,900,900,220
-R/util.R,cloglog,5,3,5,18,3,18,907,907,2
-R/util.R,cloglog_inv,8,3,8,18,3,18,910,910,29878
-R/util.R,mu_sigma_linknorm,14,6,14,31,6,31,916,916,2
-R/util.R,mu_sigma_linknorm,15,5,15,69,5,69,917,917,0
-R/util.R,mu_sigma_linknorm,17,3,17,26,3,26,919,919,2
-R/util.R,mu_sigma_linknorm,18,3,18,14,3,14,920,920,2
-R/util.R,mu_sigma_linknorm,19,3,27,3,3,3,921,929,2
-R/util.R,mu_sigma_linknorm,20,5,20,14,5,14,922,922,338
-R/util.R,mu_sigma_linknorm,21,5,21,22,5,22,923,923,338
-R/util.R,mu_sigma_linknorm,22,5,22,75,5,75,924,924,338
-R/util.R,mu_sigma_linknorm,23,5,23,71,5,71,925,925,338
-R/util.R,mu_sigma_linknorm,24,5,24,86,5,86,926,926,338
-R/util.R,mu_sigma_linknorm,25,5,25,71,5,71,927,927,338
-R/util.R,mu_sigma_linknorm,26,5,26,46,5,46,928,928,338
-R/util.R,mu_sigma_linknorm,28,3,28,84,3,84,930,930,2
-R/util.R,mu_sigma_linknorm,29,3,29,23,3,23,931,931,2
-R/util.R,mu_sigma_linknorm,30,3,30,5,3,5,932,932,2
+R/optimise_prevalence.R,optimise_sN_prevalence,238,7,238,127,7,127,875,875,0
+R/optimise_prevalence.R,optimise_sN_prevalence,242,3,242,5,3,5,879,879,5
+R/optimise_prevalence.R,cost_fi,246,3,247,60,3,60,883,884,336
+R/optimise_prevalence.R,cost_fi_cluster,260,3,260,16,3,16,897,897,221
+R/optimise_prevalence.R,cost_fi_cluster,261,3,261,18,3,18,898,898,221
+R/optimise_prevalence.R,cost_fi_cluster,263,3,263,86,3,86,900,900,221
+R/optimise_prevalence.R,cost_fi_cluster,264,3,264,68,3,68,901,901,220
+R/optimise_prevalence.R,cost_fi_cluster,266,3,266,24,3,24,903,903,220
+R/util.R,cloglog,5,3,5,18,3,18,910,910,2
+R/util.R,cloglog_inv,8,3,8,18,3,18,913,913,29878
+R/util.R,mu_sigma_linknorm,14,6,14,31,6,31,919,919,2
+R/util.R,mu_sigma_linknorm,15,5,15,69,5,69,920,920,0
+R/util.R,mu_sigma_linknorm,17,3,17,26,3,26,922,922,2
+R/util.R,mu_sigma_linknorm,18,3,18,14,3,14,923,923,2
+R/util.R,mu_sigma_linknorm,19,3,27,3,3,3,924,932,2
+R/util.R,mu_sigma_linknorm,20,5,20,14,5,14,925,925,338
+R/util.R,mu_sigma_linknorm,21,5,21,22,5,22,926,926,338
+R/util.R,mu_sigma_linknorm,22,5,22,75,5,75,927,927,338
+R/util.R,mu_sigma_linknorm,23,5,23,71,5,71,928,928,338
+R/util.R,mu_sigma_linknorm,24,5,24,86,5,86,929,929,338
+R/util.R,mu_sigma_linknorm,25,5,25,71,5,71,930,930,338
+R/util.R,mu_sigma_linknorm,26,5,26,46,5,46,931,931,338
+R/util.R,mu_sigma_linknorm,28,3,28,84,3,84,933,933,2
+R/util.R,mu_sigma_linknorm,29,3,29,23,3,23,934,934,2
+R/util.R,mu_sigma_linknorm,30,3,30,5,3,5,935,935,2
diff --git a/tests/testthat/test-fisher_information.R b/tests/testthat/test-fisher_information.R
index ed36a52..ba60abb 100644
--- a/tests/testthat/test-fisher_information.R
+++ b/tests/testthat/test-fisher_information.R
@@ -118,3 +118,16 @@ test_that("fi_pool_cluster() fails when likelihoods or derivatives do not add up
     "Error in integration of likelihoods. Likelihoods do not add to 1 or derivatives of likelihood with respect to parameters do not sum to 0"
   )
 })
+
+test_that("bad real_scale input caught in fi_pool_cluster()", {
+  expect_error(
+    fi_pool_cluster(
+      pool_size = 5, pool_number = 10, prevalence = 0.01, correlation = 0.1,
+      sensitivity = 1, specificity = 1, real_scale = 0),
+    "0 is not TRUE/FALSE")
+  expect_error(
+    fi_pool_cluster(
+      pool_size = 5, pool_number = 10, prevalence = 0.01, correlation = 0.1,
+      sensitivity = 1, specificity = 1, real_scale = "yes"),
+    "yes is not TRUE/FALSE")
+})