CRAN Package Check Results for Package serocalculator

Last updated on 2025-11-15 01:50:43 CET.

Flavor Version Tinstall Tcheck Ttotal Status Flags
r-devel-linux-x86_64-debian-clang 1.3.0 18.33 167.81 186.14 OK
r-devel-linux-x86_64-debian-gcc 1.3.0 12.22 128.45 140.67 ERROR
r-devel-linux-x86_64-fedora-clang 1.3.0 107.00 209.89 316.89 ERROR
r-devel-linux-x86_64-fedora-gcc 1.3.0 102.00 197.52 299.52 ERROR
r-devel-windows-x86_64 1.3.0 26.00 189.00 215.00 OK
r-patched-linux-x86_64 1.3.0 16.65 160.55 177.20 OK
r-release-linux-x86_64 1.3.0 16.15 159.81 175.96 OK
r-release-macos-arm64 1.3.0 9.00 72.00 81.00 OK
r-release-macos-x86_64 1.3.0 12.00 86.00 98.00 OK
r-release-windows-x86_64 1.3.0 23.00 184.00 207.00 OK
r-oldrel-macos-arm64 1.3.0 8.00 71.00 79.00 OK
r-oldrel-macos-x86_64 1.3.0 14.00 100.00 114.00 OK
r-oldrel-windows-x86_64 1.3.0 31.00 242.00 273.00 OK

Check Details

Version: 1.3.0
Check: tests
Result: ERROR Running ‘spelling.R’ [0s/0s] Running ‘testthat.R’ [23s/50s] Running the tests in ‘tests/testthat.R’ failed. Complete output: > # This file is part of the standard setup for testthat. > # It is recommended that you do not modify it. > # > # Where should you do additional test configuration? > # Learn more about the roles of various files in: > # * https://r-pkgs.org/testing-design.html#sec-tests-files-overview > # * https://testthat.r-lib.org/articles/special-files.html > > library(testthat) > library(serocalculator) > > test_check("serocalculator", stop_on_warning = TRUE) Attaching package: 'magrittr' The following objects are masked from 'package:testthat': equals, is_less_than, not Attaching package: 'dplyr' The following objects are masked from 'package:stats': filter, lag The following objects are masked from 'package:base': intersect, setdiff, setequal, union Saving _problems/test-as_curve_params-33.R Proceeding to use "`Age`" Attaching package: 'tidyr' The following object is masked from 'package:magrittr': extract i Data has been stratified. i Here are the strata that will be analyzed: # A tibble: 2 x 3 Stratum catchment n <chr> <chr> <int> 1 Stratum 1 aku 53 2 Stratum 2 kgh 47 starting new stratum: Stratum 1 # A tibble: 1 x 3 Stratum catchment n <chr> <chr> <int> 1 Stratum 1 aku 53 nrow(curve_params) = 200 Initial negative log-likelihood: 271.620368416703 about to call `nlm()` iteration = 0 Step: [1] 0 Parameter: [1] -2.302585 Function Value [1] 271.6204 Gradient: [1] -12.19684 iteration = 1 Step: [1] 0.3 Parameter: [1] -2.002585 Function Value [1] 269.4844 Gradient: [1] -1.521341 iteration = 2 Step: [1] 0.0427523 Parameter: [1] -1.959833 Function Value [1] 269.4571 Gradient: [1] 0.2566987 iteration = 3 Step: [1] -0.006172225 Parameter: [1] -1.966005 Function Value [1] 269.4563 Gradient: [1] -0.003952892 iteration = 4 Parameter: [1] -1.965911 Function Value [1] 269.4563 Gradient: [1] -9.975515e-06 Relative gradient close to zero. Current iterate is probably solution. Elapsed time: user system elapsed 0.094 0.000 0.245 starting new stratum: Stratum 2 # A tibble: 1 x 3 Stratum catchment n <chr> <chr> <int> 1 Stratum 2 kgh 47 nrow(curve_params) = 200 Initial negative log-likelihood: 261.759517614626 about to call `nlm()` iteration = 0 Step: [1] 0 Parameter: [1] -2.302585 Function Value [1] 261.7595 Gradient: [1] -23.7431 iteration = 1 Step: [1] 0.498822 Parameter: [1] -1.803763 Function Value [1] 253.5433 Gradient: [1] -7.990928 iteration = 2 Step: [1] 0.2530477 Parameter: [1] -1.550715 Function Value [1] 252.8398 Gradient: [1] 2.718074 iteration = 3 Step: [1] -0.06422655 Parameter: [1] -1.614942 Function Value [1] 252.7582 Gradient: [1] -0.161689 iteration = 4 Step: [1] 0.003606105 Parameter: [1] -1.611336 Function Value [1] 252.7579 Gradient: [1] -0.002816973 iteration = 5 Parameter: [1] -1.611272 Function Value [1] 252.7579 Gradient: [1] 3.069238e-06 Relative gradient close to zero. Current iterate is probably solution. Elapsed time: user system elapsed 0.097 0.000 0.171 i Elapsed time for loop over strata: user system elapsed 1.015 0.040 2.350 i Data has been stratified. i Here are the strata that will be analyzed: # A tibble: 2 x 3 Stratum catchment n <chr> <chr> <int> 1 Stratum 1 aku 53 2 Stratum 2 kgh 47 Setting up parallel processing with `num_cores` = 2. i Elapsed time for parallelized code: user system elapsed 0.000 0.003 1.594 Attaching package: 'readr' The following objects are masked from 'package:testthat': edition_get, local_edition [ FAIL 1 | WARN 0 | SKIP 15 | PASS 33 ] ══ Skipped tests (15) ══════════════════════════════════════════════════════════ • On CRAN (15): 'test-ab0.R:1:1', 'test-as_noise_params.R:13:1', 'test-autoplot.pop_data.R:19:1', 'test-autoplot.pop_data.R:28:1', 'test-autoplot.pop_data.R:37:1', 'test-class_attributes.R:9:1', 'test-df_to_array.R:1:1', 'test-est.incidence.R:1:1', 'test-est.incidence.by.R:35:1', 'test-f_dev.R:1:1', 'test-log_likelihood.R:1:1', 'test-plot_curve_params_one_ab.R:1:1', 'test-stratify_data.R:1:1', 'test-summary.pop_data.R:12:1', 'test-summary.pop_data.R:16:1' ══ Failed tests ════════════════════════════════════════════════════════════════ ── Error ('test-as_curve_params.R:33:3'): `as_curve_params()` produces expected results ── Error in `test_data %>% ssdtools:::expect_snapshot_data(name = "curve-data")`: object 'expect_snapshot_data' not found Backtrace: ▆ 1. └─test_data %>% ssdtools:::expect_snapshot_data(name = "curve-data") at test-as_curve_params.R:33:3 [ FAIL 1 | WARN 0 | SKIP 15 | PASS 33 ] Deleting unused snapshots: 'as_curve_params/curve-data.csv' Error: ! Test failures. Execution halted Flavor: r-devel-linux-x86_64-debian-gcc

Version: 1.3.0
Check: tests
Result: ERROR Running ‘spelling.R’ Running ‘testthat.R’ [40s/257s] Running the tests in ‘tests/testthat.R’ failed. Complete output: > # This file is part of the standard setup for testthat. > # It is recommended that you do not modify it. > # > # Where should you do additional test configuration? > # Learn more about the roles of various files in: > # * https://r-pkgs.org/testing-design.html#sec-tests-files-overview > # * https://testthat.r-lib.org/articles/special-files.html > > library(testthat) > library(serocalculator) > > test_check("serocalculator", stop_on_warning = TRUE) Attaching package: 'magrittr' The following objects are masked from 'package:testthat': equals, is_less_than, not Attaching package: 'dplyr' The following objects are masked from 'package:stats': filter, lag The following objects are masked from 'package:base': intersect, setdiff, setequal, union Saving _problems/test-as_curve_params-33.R Proceeding to use "`Age`" Attaching package: 'tidyr' The following object is masked from 'package:magrittr': extract i Data has been stratified. i Here are the strata that will be analyzed: # A tibble: 2 x 3 Stratum catchment n <chr> <chr> <int> 1 Stratum 1 aku 53 2 Stratum 2 kgh 47 starting new stratum: Stratum 1 # A tibble: 1 x 3 Stratum catchment n <chr> <chr> <int> 1 Stratum 1 aku 53 nrow(curve_params) = 200 Initial negative log-likelihood: 271.620368416703 about to call `nlm()` iteration = 0 Step: [1] 0 Parameter: [1] -2.302585 Function Value [1] 271.6204 Gradient: [1] -12.19684 iteration = 1 Step: [1] 0.3 Parameter: [1] -2.002585 Function Value [1] 269.4844 Gradient: [1] -1.521341 iteration = 2 Step: [1] 0.0427523 Parameter: [1] -1.959833 Function Value [1] 269.4571 Gradient: [1] 0.2566987 iteration = 3 Step: [1] -0.006172225 Parameter: [1] -1.966005 Function Value [1] 269.4563 Gradient: [1] -0.003952892 iteration = 4 Parameter: [1] -1.965911 Function Value [1] 269.4563 Gradient: [1] -9.975515e-06 Relative gradient close to zero. Current iterate is probably solution. Elapsed time: user system elapsed 0.198 0.000 0.674 starting new stratum: Stratum 2 # A tibble: 1 x 3 Stratum catchment n <chr> <chr> <int> 1 Stratum 2 kgh 47 nrow(curve_params) = 200 Initial negative log-likelihood: 261.759517614626 about to call `nlm()` iteration = 0 Step: [1] 0 Parameter: [1] -2.302585 Function Value [1] 261.7595 Gradient: [1] -23.7431 iteration = 1 Step: [1] 0.498822 Parameter: [1] -1.803763 Function Value [1] 253.5433 Gradient: [1] -7.990928 iteration = 2 Step: [1] 0.2530477 Parameter: [1] -1.550715 Function Value [1] 252.8398 Gradient: [1] 2.718074 iteration = 3 Step: [1] -0.06422655 Parameter: [1] -1.614942 Function Value [1] 252.7582 Gradient: [1] -0.161689 iteration = 4 Step: [1] 0.003606105 Parameter: [1] -1.611336 Function Value [1] 252.7579 Gradient: [1] -0.002816973 iteration = 5 Parameter: [1] -1.611272 Function Value [1] 252.7579 Gradient: [1] 3.069238e-06 Relative gradient close to zero. Current iterate is probably solution. Elapsed time: user system elapsed 0.220 0.001 0.836 i Elapsed time for loop over strata: user system elapsed 1.499 0.001 5.720 i Data has been stratified. i Here are the strata that will be analyzed: # A tibble: 2 x 3 Stratum catchment n <chr> <chr> <int> 1 Stratum 1 aku 53 2 Stratum 2 kgh 47 Setting up parallel processing with `num_cores` = 2. i Elapsed time for parallelized code: user system elapsed 0.003 0.003 2.425 Attaching package: 'readr' The following objects are masked from 'package:testthat': edition_get, local_edition [ FAIL 1 | WARN 0 | SKIP 15 | PASS 33 ] ══ Skipped tests (15) ══════════════════════════════════════════════════════════ • On CRAN (15): 'test-ab0.R:1:1', 'test-as_noise_params.R:13:1', 'test-autoplot.pop_data.R:19:1', 'test-autoplot.pop_data.R:28:1', 'test-autoplot.pop_data.R:37:1', 'test-class_attributes.R:9:1', 'test-df_to_array.R:1:1', 'test-est.incidence.R:1:1', 'test-est.incidence.by.R:35:1', 'test-f_dev.R:1:1', 'test-log_likelihood.R:1:1', 'test-plot_curve_params_one_ab.R:1:1', 'test-stratify_data.R:1:1', 'test-summary.pop_data.R:12:1', 'test-summary.pop_data.R:16:1' ══ Failed tests ════════════════════════════════════════════════════════════════ ── Error ('test-as_curve_params.R:33:3'): `as_curve_params()` produces expected results ── Error in `test_data %>% ssdtools:::expect_snapshot_data(name = "curve-data")`: object 'expect_snapshot_data' not found Backtrace: ▆ 1. └─test_data %>% ssdtools:::expect_snapshot_data(name = "curve-data") at test-as_curve_params.R:33:3 [ FAIL 1 | WARN 0 | SKIP 15 | PASS 33 ] Deleting unused snapshots: 'as_curve_params/curve-data.csv' Error: ! Test failures. Execution halted Flavor: r-devel-linux-x86_64-fedora-clang

Version: 1.3.0
Check: tests
Result: ERROR Running ‘spelling.R’ Running ‘testthat.R’ [39s/188s] Running the tests in ‘tests/testthat.R’ failed. Complete output: > # This file is part of the standard setup for testthat. > # It is recommended that you do not modify it. > # > # Where should you do additional test configuration? > # Learn more about the roles of various files in: > # * https://r-pkgs.org/testing-design.html#sec-tests-files-overview > # * https://testthat.r-lib.org/articles/special-files.html > > library(testthat) > library(serocalculator) > > test_check("serocalculator", stop_on_warning = TRUE) Attaching package: 'magrittr' The following objects are masked from 'package:testthat': equals, is_less_than, not Attaching package: 'dplyr' The following objects are masked from 'package:stats': filter, lag The following objects are masked from 'package:base': intersect, setdiff, setequal, union Saving _problems/test-as_curve_params-33.R Proceeding to use "`Age`" Attaching package: 'tidyr' The following object is masked from 'package:magrittr': extract i Data has been stratified. i Here are the strata that will be analyzed: # A tibble: 2 x 3 Stratum catchment n <chr> <chr> <int> 1 Stratum 1 aku 53 2 Stratum 2 kgh 47 starting new stratum: Stratum 1 # A tibble: 1 x 3 Stratum catchment n <chr> <chr> <int> 1 Stratum 1 aku 53 nrow(curve_params) = 200 Initial negative log-likelihood: 271.620368416703 about to call `nlm()` iteration = 0 Step: [1] 0 Parameter: [1] -2.302585 Function Value [1] 271.6204 Gradient: [1] -12.19684 iteration = 1 Step: [1] 0.3 Parameter: [1] -2.002585 Function Value [1] 269.4844 Gradient: [1] -1.521341 iteration = 2 Step: [1] 0.0427523 Parameter: [1] -1.959833 Function Value [1] 269.4571 Gradient: [1] 0.2566987 iteration = 3 Step: [1] -0.006172225 Parameter: [1] -1.966005 Function Value [1] 269.4563 Gradient: [1] -0.003952892 iteration = 4 Parameter: [1] -1.965911 Function Value [1] 269.4563 Gradient: [1] -9.975515e-06 Relative gradient close to zero. Current iterate is probably solution. Elapsed time: user system elapsed 0.205 0.001 0.330 starting new stratum: Stratum 2 # A tibble: 1 x 3 Stratum catchment n <chr> <chr> <int> 1 Stratum 2 kgh 47 nrow(curve_params) = 200 Initial negative log-likelihood: 261.759517614626 about to call `nlm()` iteration = 0 Step: [1] 0 Parameter: [1] -2.302585 Function Value [1] 261.7595 Gradient: [1] -23.7431 iteration = 1 Step: [1] 0.498822 Parameter: [1] -1.803763 Function Value [1] 253.5433 Gradient: [1] -7.990928 iteration = 2 Step: [1] 0.2530477 Parameter: [1] -1.550715 Function Value [1] 252.8398 Gradient: [1] 2.718074 iteration = 3 Step: [1] -0.06422655 Parameter: [1] -1.614942 Function Value [1] 252.7582 Gradient: [1] -0.161689 iteration = 4 Step: [1] 0.003606105 Parameter: [1] -1.611336 Function Value [1] 252.7579 Gradient: [1] -0.002816973 iteration = 5 Parameter: [1] -1.611272 Function Value [1] 252.7579 Gradient: [1] 3.069238e-06 Relative gradient close to zero. Current iterate is probably solution. Elapsed time: user system elapsed 0.228 0.000 0.724 i Elapsed time for loop over strata: user system elapsed 1.484 0.120 2.722 i Data has been stratified. i Here are the strata that will be analyzed: # A tibble: 2 x 3 Stratum catchment n <chr> <chr> <int> 1 Stratum 1 aku 53 2 Stratum 2 kgh 47 Setting up parallel processing with `num_cores` = 2. i Elapsed time for parallelized code: user system elapsed 0.006 0.000 1.612 Attaching package: 'readr' The following objects are masked from 'package:testthat': edition_get, local_edition [ FAIL 1 | WARN 0 | SKIP 15 | PASS 33 ] ══ Skipped tests (15) ══════════════════════════════════════════════════════════ • On CRAN (15): 'test-ab0.R:1:1', 'test-as_noise_params.R:13:1', 'test-autoplot.pop_data.R:19:1', 'test-autoplot.pop_data.R:28:1', 'test-autoplot.pop_data.R:37:1', 'test-class_attributes.R:9:1', 'test-df_to_array.R:1:1', 'test-est.incidence.R:1:1', 'test-est.incidence.by.R:35:1', 'test-f_dev.R:1:1', 'test-log_likelihood.R:1:1', 'test-plot_curve_params_one_ab.R:1:1', 'test-stratify_data.R:1:1', 'test-summary.pop_data.R:12:1', 'test-summary.pop_data.R:16:1' ══ Failed tests ════════════════════════════════════════════════════════════════ ── Error ('test-as_curve_params.R:33:3'): `as_curve_params()` produces expected results ── Error in `test_data %>% ssdtools:::expect_snapshot_data(name = "curve-data")`: object 'expect_snapshot_data' not found Backtrace: ▆ 1. └─test_data %>% ssdtools:::expect_snapshot_data(name = "curve-data") at test-as_curve_params.R:33:3 [ FAIL 1 | WARN 0 | SKIP 15 | PASS 33 ] Deleting unused snapshots: 'as_curve_params/curve-data.csv' Error: ! Test failures. Execution halted Flavor: r-devel-linux-x86_64-fedora-gcc