From 8da6f48b7d1a394b5d23d65e60fd3ec66039768b Mon Sep 17 00:00:00 2001 From: fredjaya Date: Mon, 4 Dec 2023 15:23:07 +1100 Subject: [PATCH 1/4] Replace fi_pool.R tests with reasonable params --- CHANGELOG.md | 7 ++- tests/testthat/test-fisher_information.R | 60 +++++++----------------- 2 files changed, 23 insertions(+), 44 deletions(-) diff --git a/CHANGELOG.md b/CHANGELOG.md index 4973950..3cfa8ff 100644 --- a/CHANGELOG.md +++ b/CHANGELOG.md @@ -39,8 +39,11 @@ and this project adheres to ### [v0.0.2] - 2023-12-01 **Focus:** Tests -- [ ] Add helper function for input variable checks -[#2](https://github.com/AngusMcLure/PoolPoweR/issues/2) + +- Added helper functions to check argument inputs. Implemented in mainly user- +facing functions: `optimise_s_prevalence()`, `optimise_sN_prevalence()`, +`design_effect()` and `fi_pool_cluster()` ( +[#2](https://github.com/AngusMcLure/PoolPoweR/issues/2)) - [ ] Throw warnings for some input variable ranges [#3](https://github.com/AngusMcLure/PoolPoweR/issues/3) - Note: these parts currently lack test coverage in user-level functions diff --git a/tests/testthat/test-fisher_information.R b/tests/testthat/test-fisher_information.R index ba60abb..c9655d5 100644 --- a/tests/testthat/test-fisher_information.R +++ b/tests/testthat/test-fisher_information.R @@ -1,6 +1,12 @@ # Tolerance to address floating point precision errors test_that("fi_pool() works with expected input ranges", { # Tests mainly to ensure same outputs when refactoring fi_pool internals + # This one has reasonable params + expect_equal(fi_pool( + pool_size = 10, prevalence = 0.01, sensitivity = 0.95, specificity = 0.99), + 820.1759, tolerance = 1e-4 + ) + # These ones do not really expect_equal( fi_pool( pool_size = 10, @@ -30,48 +36,17 @@ test_that("fi_pool() works with expected input ranges", { }) test_that("fi_pool_cluster() outputs a 2x2 matrix for input vectors of length 2", { - expect_true(all.equal( - fi_pool_cluster( - pool_size = c(10, 20), - pool_number = c(10, 20), - prevalence = 0.9, - sensitivity = 1, - specificity = 1, - correlation = 0.5, - form = "beta", - real_scale = TRUE - ), - matrix(c(5.431112, -1.928655, -1.928655, 1.123625), nrow = 2), - tolerance = 1e-6 - )) - expect_true(all.equal( - fi_pool_cluster( - pool_size = c(5, 10), - pool_number = c(10, 15), - prevalence = 0.9, - sensitivity = 1, - specificity = 1, - correlation = 0.5, - form = "beta", - real_scale = TRUE - ), - matrix(c(9.028451, -1.718530, -1.718530, 1.130158), nrow = 2), - tolerance = 1e-6 - )) - expect_true(all.equal( - fi_pool_cluster( - pool_size = c(5, 10), - pool_number = c(10, 15), - prevalence = 0.7, - sensitivity = 0.95, - specificity = 0.8, - correlation = 0.9, - form = "cloglognorm", - real_scale = FALSE - ), - matrix(c(4.692347, -2.270677, -2.270677, 8.494053), nrow = 2), - tolerance = 1e-6 - )) + ## Reasonable params + expect_true(all.equal(fi_pool_cluster( + pool_size = 10, pool_number = 5, prevalence = 0.01, correlation = 0.05, + sensitivity = 0.95, specificity = 0.99), + matrix(c(1880.3484, -125.47514, -125.4751, 23.71574), nrow = 2), tolerance = 1e-5 + )) + expect_true(all.equal(fi_pool_cluster( + pool_size = c(1, 2), pool_number = c(5, 10), prevalence = 0.01, correlation = 0.05, + sensitivity = 0.95, specificity = 0.99), + matrix(c(926.41807, -23.055960, -23.055960, 9.535592), nrow = 2), tolerance = 1e-6 + )) }) test_that("fi_pool_cluster() fails when integral is divergent", { @@ -104,6 +79,7 @@ test_that("fi_pool_cluster() fails when integral is divergent", { }) test_that("fi_pool_cluster() fails when likelihoods or derivatives do not add up", { + # SLOW (doesn't scale with pool size, number, and vector length) expect_error( fi_pool_cluster( pool_size = c(5, 10), From 7fba7a162b23f2d63b86560e687e62756c31a11c Mon Sep 17 00:00:00 2001 From: fredjaya Date: Mon, 4 Dec 2023 16:30:49 +1100 Subject: [PATCH 2/4] Improve s and N vectors test for fi_pool_cluster() --- R/fisher_information.R | 6 ++++-- tests/testthat/test-fisher_information.R | 17 ++++++++++++++++- 2 files changed, 20 insertions(+), 3 deletions(-) diff --git a/R/fisher_information.R b/R/fisher_information.R index e78cc8b..58279d6 100644 --- a/R/fisher_information.R +++ b/R/fisher_information.R @@ -84,8 +84,10 @@ fi_pool_cluster <- function(pool_size, varphi <- sensitivity psi <- specificity - if (length(s) != length(N) || !all((N %% 1) == 0) || !all(c(N, s) > 0)) { - stop("s and N must be vectors of positive numbers of common length. s can be non-integer, but N must be integer") + if (!is.numeric(c(s,N)) || length(s) != length(N) || !all((N %% 1) == 0) || !all(c(N, s) > 0)) { + # Not providing outputs for vectors because of nasty coercion hierarchies... + # and because this is "power-user" facing + stop("pool_size and pool_number must be vectors of positive numbers of common length. pool_size can be non-integer, but pool_number must be integer") } if (rho == 0) { diff --git a/tests/testthat/test-fisher_information.R b/tests/testthat/test-fisher_information.R index c9655d5..db93f8d 100644 --- a/tests/testthat/test-fisher_information.R +++ b/tests/testthat/test-fisher_information.R @@ -36,7 +36,6 @@ test_that("fi_pool() works with expected input ranges", { }) test_that("fi_pool_cluster() outputs a 2x2 matrix for input vectors of length 2", { - ## Reasonable params expect_true(all.equal(fi_pool_cluster( pool_size = 10, pool_number = 5, prevalence = 0.01, correlation = 0.05, sensitivity = 0.95, specificity = 0.99), @@ -49,6 +48,22 @@ test_that("fi_pool_cluster() outputs a 2x2 matrix for input vectors of length 2" )) }) +test_that("fi_pool_cluster() s and N are numeric/integer vectors of same length", { + e <- "pool_size and pool_number must be vectors of positive numbers of common length. pool_size can be non-integer, but pool_number must be integer" + expect_error(fi_pool_cluster( + pool_size = 10, pool_number = c(10, 20, 30), prevalence = 0.01, + correlation = 0.05, sensitivity = 0.95, specificity = 0.99), e) + expect_error(fi_pool_cluster( + pool_size = "foo", pool_number = "bar", prevalence = 0.01, + correlation = 0.05, sensitivity = 0.95, specificity = 0.99), e) + expect_error(fi_pool_cluster( + pool_size = c(1.1, 1), pool_number = c(1.1, 1), prevalence = 0.01, + correlation = 0.05, sensitivity = 0.95, specificity = 0.99), e) + expect_error(fi_pool_cluster( + pool_size = 0, pool_number = 10, prevalence = 0.01, + correlation = 0.05, sensitivity = 0.95, specificity = 0.99), e) +}) + test_that("fi_pool_cluster() fails when integral is divergent", { expect_error( fi_pool_cluster( From b5f40acee43f2dfcb822efb59a56db687cd6b2d5 Mon Sep 17 00:00:00 2001 From: fredjaya Date: Tue, 5 Dec 2023 10:11:28 +1100 Subject: [PATCH 3/4] fi_pool tests for input edge cases --- CHANGELOG.md | 33 +- DESCRIPTION | 2 +- R/fisher_information.R | 5 +- dev_resources/coverage_report.csv | 578 +++++++++++------------ tests/testthat/test-fisher_information.R | 69 ++- 5 files changed, 365 insertions(+), 322 deletions(-) diff --git a/CHANGELOG.md b/CHANGELOG.md index 3cfa8ff..cc172ef 100644 --- a/CHANGELOG.md +++ b/CHANGELOG.md @@ -37,22 +37,23 @@ and this project adheres to - [ ] Move descriptions to details - [x] Rename real.scale to real_scale -### [v0.0.2] - 2023-12-01 -**Focus:** Tests - -- Added helper functions to check argument inputs. Implemented in mainly user- -facing functions: `optimise_s_prevalence()`, `optimise_sN_prevalence()`, -`design_effect()` and `fi_pool_cluster()` ( -[#2](https://github.com/AngusMcLure/PoolPoweR/issues/2)) -- [ ] Throw warnings for some input variable ranges -[#3](https://github.com/AngusMcLure/PoolPoweR/issues/3) - - Note: these parts currently lack test coverage in user-level functions -- [ ] Update unit tests with examples added in -[#11](https://github.com/AngusMcLure/PoolPoweR/issues/11) -- [ ] Add GHA for test coverage -[#5](https://github.com/AngusMcLure/PoolPoweR/issues/5) -- [ ] Add tests for uncovered lines -- [ ] Speed up tests (some slow ones fo fisher_info.R) +### [v0.0.2] - 2023-12-05 + +Test coverage at 96.79%, but still requires considerable revision. + +#### Added +- Helper functions for arguments in `check_inputs.R`. Implemented in mainly +user-facing functions: `optimise_s_prevalence()`, `optimise_sN_prevalence()`, +`design_effect()` and `fi_pool_cluster()` (#2) +- Unit tests with reasonable examples from #11. +- `test-coverage` and GHA (#5) + +#### Changed +- Error and warning handling for `fi_pool_cluster()` inputs + +#### Removed +- Slower `fi_pool_cluster()` unit tests (cases where $s>1$ and $N>1$), these +also had extreme parameters. ## [Released] diff --git a/DESCRIPTION b/DESCRIPTION index 362b4d4..a745cb4 100644 --- a/DESCRIPTION +++ b/DESCRIPTION @@ -1,7 +1,7 @@ Package: PoolPoweR Type: Package Title: Power and Sample Size Calculations for Surveys Using Pool Testing -Version: 0.0.1 +Version: 0.0.3 Authors@R: c( person(given = "Angus", family = "McLure", role = c("aut", "cre"), email = "angus.mclure@anu.edu.au", diff --git a/R/fisher_information.R b/R/fisher_information.R index 58279d6..961ba71 100644 --- a/R/fisher_information.R +++ b/R/fisher_information.R @@ -74,6 +74,7 @@ fi_pool_cluster <- function(pool_size, form = "beta", real_scale = FALSE) { + check_input("form", form) check_input("real_scale", real_scale) s <- pool_size @@ -111,7 +112,7 @@ fi_pool_cluster <- function(pool_size, # derivatives can be performed accordingly if (form == "discrete") { method <- "summation" - if (length(s) != 1) stop("unequal pool size not implemented for kind = 'discrete'") + if (length(s) != 1) stop("unequal pool size not implemented for form = 'discrete'") # This models the prevalence at each site as a discrete distribution: # values: 0, theta, 1 # weights: rho * (1-theta), (1-rho), rho * theta @@ -463,7 +464,5 @@ fi_pool_cluster <- function(pool_size, # FI on the {theta, rho} parameterisation return(t(J) %*% FI %*% J) } - } else { - stop("accepted forms of the site prevalence distribution (argument form) are logitnorm, cloglognorm, beta, and discrete.") } } diff --git a/dev_resources/coverage_report.csv b/dev_resources/coverage_report.csv index 57c2a9c..9f7126f 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,4,3,4,77,3,77,6,6,475 -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,4,3,4,77,3,77,6,6,726 +R/check_input.R,check_input,5,3,5,29,3,29,7,7,726 +R/check_input.R,check_input,6,3,6,56,3,56,8,8,726 +R/check_input.R,check_input,8,6,8,28,6,28,8,8,726 R/check_input.R,check_input,8,31,8,76,31,76,8,8,62 -R/check_input.R,check_input,9,11,9,33,11,33,9,9,413 +R/check_input.R,check_input,9,11,9,33,11,33,9,9,664 R/check_input.R,check_input,9,36,9,81,36,81,9,9,32 -R/check_input.R,check_input,10,11,10,34,11,34,10,10,381 +R/check_input.R,check_input,10,11,10,34,11,34,10,10,632 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-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 +R/optimise_prevalence.R,optimise_sN_prevalence,238,7,238,127,7,127,876,876,0 +R/optimise_prevalence.R,optimise_sN_prevalence,242,3,242,5,3,5,880,880,5 +R/optimise_prevalence.R,cost_fi,246,3,247,60,3,60,884,885,336 +R/optimise_prevalence.R,cost_fi_cluster,260,3,260,16,3,16,898,898,221 +R/optimise_prevalence.R,cost_fi_cluster,261,3,261,18,3,18,899,899,221 +R/optimise_prevalence.R,cost_fi_cluster,263,3,263,86,3,86,901,901,221 +R/optimise_prevalence.R,cost_fi_cluster,264,3,264,68,3,68,902,902,220 +R/optimise_prevalence.R,cost_fi_cluster,266,3,266,24,3,24,904,904,220 +R/util.R,cloglog,5,3,5,18,3,18,911,911,2 +R/util.R,cloglog_inv,8,3,8,18,3,18,914,914,14194 +R/util.R,mu_sigma_linknorm,14,6,14,31,6,31,920,920,2 +R/util.R,mu_sigma_linknorm,15,5,15,69,5,69,921,921,0 +R/util.R,mu_sigma_linknorm,17,3,17,26,3,26,923,923,2 +R/util.R,mu_sigma_linknorm,18,3,18,14,3,14,924,924,2 +R/util.R,mu_sigma_linknorm,19,3,27,3,3,3,925,933,2 +R/util.R,mu_sigma_linknorm,20,5,20,14,5,14,926,926,330 +R/util.R,mu_sigma_linknorm,21,5,21,22,5,22,927,927,330 +R/util.R,mu_sigma_linknorm,22,5,22,75,5,75,928,928,330 +R/util.R,mu_sigma_linknorm,23,5,23,71,5,71,929,929,330 +R/util.R,mu_sigma_linknorm,24,5,24,86,5,86,930,930,330 +R/util.R,mu_sigma_linknorm,25,5,25,71,5,71,931,931,330 +R/util.R,mu_sigma_linknorm,26,5,26,46,5,46,932,932,330 +R/util.R,mu_sigma_linknorm,28,3,28,84,3,84,934,934,2 +R/util.R,mu_sigma_linknorm,29,3,29,23,3,23,935,935,2 +R/util.R,mu_sigma_linknorm,30,3,30,5,3,5,936,936,2 diff --git a/tests/testthat/test-fisher_information.R b/tests/testthat/test-fisher_information.R index db93f8d..7b022f3 100644 --- a/tests/testthat/test-fisher_information.R +++ b/tests/testthat/test-fisher_information.R @@ -48,6 +48,20 @@ test_that("fi_pool_cluster() outputs a 2x2 matrix for input vectors of length 2" )) }) +# Input argument checks -------------------------------------------------------- +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") +}) + test_that("fi_pool_cluster() s and N are numeric/integer vectors of same length", { e <- "pool_size and pool_number must be vectors of positive numbers of common length. pool_size can be non-integer, but pool_number must be integer" expect_error(fi_pool_cluster( @@ -64,6 +78,48 @@ test_that("fi_pool_cluster() s and N are numeric/integer vectors of same length" correlation = 0.05, sensitivity = 0.95, specificity = 0.99), e) }) +test_that("fi_pool_cluster() when K == 1 && N == 1 && s == 1", { + expect_equal(fi_pool_cluster( + pool_size = 1, pool_number = 1, prevalence = 0.01, correlation = 0.05, + sensitivity = 0.95, specificity = 0.99), + matrix(c(46.44747, 0, 0, 0), nrow = 2), tolerance = 1e-5) +}) + +test_that("fi_pool_cluster() when form == 'discrete'", { + expect_equal(fi_pool_cluster( + pool_size = 10, pool_number = 5, prevalence = 0.01, correlation = 0.05, + sensitivity = 0.95, specificity = 0.99, form = "discrete"), + matrix(c(3793.83363, -39.6160580, -39.6160580, 0.6903514), nrow = 2), + tolerance = 1e-7) +}) + +test_that("fi_pool_cluster() when real_scale", { + expect_equal(fi_pool_cluster( + pool_size = 10, pool_number = 5, prevalence = 0.01, correlation = 0.05, + sensitivity = 0.95, specificity = 0.99, form = "cloglognorm", real_scale = T), + matrix(c(0.3152587, 0.2093284, 0.2093284, 0.2246682), nrow = 2), + tolerance = 1e-7) +}) + +test_that("fi_pool_cluster() when rho 0 or 1", { + expect_equal(fi_pool_cluster( + pool_size = 10, pool_number = 5, prevalence = 0.01, correlation = 0, + sensitivity = 0.95, specificity = 0.99), + 4100.879, tolerance = 1e-3) + expect_error(fi_pool_cluster( + pool_size = 10, pool_number = 5, prevalence = 0.01, correlation = 1, + sensitivity = 0.95, specificity = 0.99), + "correlation = 1 \\(perfect correlation\\) means that units from the same location are prefectly correlated. Do not use cluster surveys in this case.") +}) + +test_that("fi_pool_cluster() when s != 1 and form = discrete", { + expect_error(fi_pool_cluster( + pool_size = c(1, 2), pool_number = c(5, 10), prevalence = 0.01, correlation = 0.05, + sensitivity = 0.95, specificity = 0.99, form = "discrete", real_scale = T), + "unequal pool size not implemented for form = 'discrete'") +}) + +# Integration fails ------------------------------------------------------------ test_that("fi_pool_cluster() fails when integral is divergent", { expect_error( fi_pool_cluster( @@ -109,16 +165,3 @@ 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") -}) From 4f5de76e34077a042cc6475cb4e6fe440811dcb2 Mon Sep 17 00:00:00 2001 From: fredjaya Date: Tue, 5 Dec 2023 14:22:27 +1100 Subject: [PATCH 4/4] Update function dep graph and changelog --- CHANGELOG.md | 23 ++++++++++++++--------- dev_resources/function_dependencies.png | Bin 0 -> 232855 bytes 2 files changed, 14 insertions(+), 9 deletions(-) create mode 100644 dev_resources/function_dependencies.png diff --git a/CHANGELOG.md b/CHANGELOG.md index 6364673..73ad970 100644 --- a/CHANGELOG.md +++ b/CHANGELOG.md @@ -7,9 +7,9 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0.html). ## [Upcoming] + ### Long-term - [ ] Establish default values for functions [#11](https://github.com/AngusMcLure/PoolPoweR/issues/11) -- [ ] Create full class system for catch_distribution [#15](https://github.com/AngusMcLure/PoolPoweR/issues/15) ### [v1.0.0] - CRAN release @@ -18,10 +18,10 @@ and this project adheres to ### [vX] **Focus:** Package -- [ ] Fix integrand issue -- [ ] Implement codecov.io -- [ ] Refactor functions (i.e. break down into smaller ones for readability) -- [ ] Configure and optimise GHA workflows +- [ ] Fix integrand issue (#21) +- [ ] Implement codecov.io (#5) +- [ ] Refactor functions i.e. break down into smaller ones for readability (#26) +- [ ] Configure and optimise GHA workflows ### [vX] **Focus:** Documentation @@ -31,15 +31,19 @@ and this project adheres to [#14](https://github.com/AngusMcLure/PoolPoweR/issues/14) - [ ] Add PoolPoweR-package.R (#18) - [ ] Move descriptions to details -- [x] Rename real.scale to real_scale -## [Released] +### [v0.1.1] - 2023-12-08 +- Update tests to pass new additions (#29, #30, #32) +- Add check_rho() to input_check() (#32) +- Document optimise_random_prevalence() arguments #31 + +## [Available] ### [v0.1.0] - 2023-12-05 Period sampling functions. -#### Added +#### Added - `fi_pool_cluster_random()` and `optimise_random_prevalence()` for evaluating and designing surverys where the number of units caught at each site (or overall) are random @@ -76,5 +80,6 @@ also had extreme parameters. #10, #11) - GitHub Action workflows `check-standard` and `test-coverage` implemented (#5) -[unreleased]: +[upcoming]: +[0.0.2]: [0.0.1]: diff --git a/dev_resources/function_dependencies.png b/dev_resources/function_dependencies.png new file mode 100644 index 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