Package check result: OK Changes to worse in reverse depends: Package: RoBMA Check: for code/documentation mismatches New result: WARNING Exported functions without usage information: BMA.norm add_loo add_marglik add_waic as_zplot brma.norm check_loo covratio dffits funnel galbraith loo loo_compare loo_weights radial regplot waic zplot Codoc mismatches from Rd file 'prior_weightfunction.Rd': prior_weightfunction Code: function(side = "one-sided", steps = c(0.025, 0.05), weights = wf_cumulative(), reference = "most_significant", prior_weights = 1, model = selection_model()) Docs: function(side = "one-sided", steps = c(0.025, 0.05), weights = wf_cumulative(), reference = "most_significant", prior_weights = 1) Argument names in code not in docs: model Package: RoBSA Check: tests New result: ERROR Running ‘testthat.R’ [8s/8s] Running the tests in ‘tests/testthat.R’ failed. Complete output: > library(testthat) > library(vdiffr) > library(RoBSA) Loading required namespace: runjags > > test_check("RoBSA") Saving _problems/test-0-CRAN-18.R [ FAIL 1 | WARN 0 | SKIP 0 | PASS 0 ] ══ Failed tests ════════════════════════════════════════════════════════════════ ── Error ('test-0-CRAN.R:18:3'): Basic functionality works ───────────────────── Error: mix_posteriors() requires identical posterior model probabilities across parameters so mixture draws stay aligned. Differing post_probs usually arise from conditional = TRUE with different null indicators per parameter. Mix each conditional parameter separately, or use unconditional averaging. Backtrace: ▆ 1. ├─base::suppressWarnings(...) at test-0-CRAN.R:18:3 2. │ └─base::withCallingHandlers(...) 3. └─RoBSA::RoBSA(...) 4. └─RoBSA:::.ensemble_inference(object) 5. └─BayesTools::mix_posteriors(...) 6. └─BayesTools:::.mix_posteriors_assert_aligned_post_probs(...) [ FAIL 1 | WARN 0 | SKIP 0 | PASS 0 ] Error: ! Test failures. Execution halted Package: RoBTT Check: tests New result: ERROR Running ‘testthat.R’ [5s/5s] Running the tests in ‘tests/testthat.R’ failed. Complete output: > library(testthat) > library(vdiffr) > library(RoBTT) Loading required package: Rcpp > > test_check("RoBTT") Chain 1: Chain 1: Gradient evaluation took 1e-05 seconds Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 0.1 seconds. Chain 1: Adjust your expectations accordingly! Chain 1: Chain 1: Chain 1: WARNING: There aren't enough warmup iterations to fit the Chain 1: three stages of adaptation as currently configured. Chain 1: Reducing each adaptation stage to 15%/75%/10% of Chain 1: the given number of warmup iterations: Chain 1: init_buffer = 7 Chain 1: adapt_window = 38 Chain 1: term_buffer = 5 Chain 1: Chain 1: Chain 1: Elapsed Time: 0 seconds (Warm-up) Chain 1: 0 seconds (Sampling) Chain 1: 0 seconds (Total) Chain 1: Chain 1: Chain 1: Gradient evaluation took 1.1e-05 seconds Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 0.11 seconds. Chain 1: Adjust your expectations accordingly! Chain 1: Chain 1: Chain 1: WARNING: There aren't enough warmup iterations to fit the Chain 1: three stages of adaptation as currently configured. Chain 1: Reducing each adaptation stage to 15%/75%/10% of Chain 1: the given number of warmup iterations: Chain 1: init_buffer = 7 Chain 1: adapt_window = 38 Chain 1: term_buffer = 5 Chain 1: Chain 1: Chain 1: Elapsed Time: 0.001 seconds (Warm-up) Chain 1: 0 seconds (Sampling) Chain 1: 0.001 seconds (Total) Chain 1: Chain 1: Chain 1: Gradient evaluation took 8e-06 seconds Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 0.08 seconds. Chain 1: Adjust your expectations accordingly! Chain 1: Chain 1: Chain 1: WARNING: There aren't enough warmup iterations to fit the Chain 1: three stages of adaptation as currently configured. Chain 1: Reducing each adaptation stage to 15%/75%/10% of Chain 1: the given number of warmup iterations: Chain 1: init_buffer = 7 Chain 1: adapt_window = 38 Chain 1: term_buffer = 5 Chain 1: Chain 1: Chain 1: Elapsed Time: 0 seconds (Warm-up) Chain 1: 0 seconds (Sampling) Chain 1: 0 seconds (Total) Chain 1: Chain 1: Chain 1: Gradient evaluation took 1.2e-05 seconds Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 0.12 seconds. Chain 1: Adjust your expectations accordingly! Chain 1: Chain 1: Chain 1: WARNING: There aren't enough warmup iterations to fit the Chain 1: three stages of adaptation as currently configured. Chain 1: Reducing each adaptation stage to 15%/75%/10% of Chain 1: the given number of warmup iterations: Chain 1: init_buffer = 7 Chain 1: adapt_window = 38 Chain 1: term_buffer = 5 Chain 1: Chain 1: Chain 1: Elapsed Time: 0.002 seconds (Warm-up) Chain 1: 0.001 seconds (Sampling) Chain 1: 0.003 seconds (Total) Chain 1: Chain 1: Chain 1: Gradient evaluation took 7e-06 seconds Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 0.07 seconds. Chain 1: Adjust your expectations accordingly! Chain 1: Chain 1: Chain 1: WARNING: There aren't enough warmup iterations to fit the Chain 1: three stages of adaptation as currently configured. Chain 1: Reducing each adaptation stage to 15%/75%/10% of Chain 1: the given number of warmup iterations: Chain 1: init_buffer = 7 Chain 1: adapt_window = 38 Chain 1: term_buffer = 5 Chain 1: Chain 1: Chain 1: Elapsed Time: 0 seconds (Warm-up) Chain 1: 0 seconds (Sampling) Chain 1: 0 seconds (Total) Chain 1: Chain 1: Chain 1: Gradient evaluation took 9e-06 seconds Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 0.09 seconds. Chain 1: Adjust your expectations accordingly! Chain 1: Chain 1: Chain 1: WARNING: There aren't enough warmup iterations to fit the Chain 1: three stages of adaptation as currently configured. Chain 1: Reducing each adaptation stage to 15%/75%/10% of Chain 1: the given number of warmup iterations: Chain 1: init_buffer = 7 Chain 1: adapt_window = 38 Chain 1: term_buffer = 5 Chain 1: Chain 1: Chain 1: Elapsed Time: 0.001 seconds (Warm-up) Chain 1: 0.001 seconds (Sampling) Chain 1: 0.002 seconds (Total) Chain 1: Chain 1: Chain 1: Gradient evaluation took 9e-06 seconds Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 0.09 seconds. Chain 1: Adjust your expectations accordingly! Chain 1: Chain 1: Chain 1: WARNING: There aren't enough warmup iterations to fit the Chain 1: three stages of adaptation as currently configured. Chain 1: Reducing each adaptation stage to 15%/75%/10% of Chain 1: the given number of warmup iterations: Chain 1: init_buffer = 7 Chain 1: adapt_window = 38 Chain 1: term_buffer = 5 Chain 1: Chain 1: Chain 1: Elapsed Time: 0.001 seconds (Warm-up) Chain 1: 0.001 seconds (Sampling) Chain 1: 0.002 seconds (Total) Chain 1: Chain 1: Chain 1: Gradient evaluation took 1.2e-05 seconds Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 0.12 seconds. Chain 1: Adjust your expectations accordingly! Chain 1: Chain 1: Chain 1: WARNING: There aren't enough warmup iterations to fit the Chain 1: three stages of adaptation as currently configured. Chain 1: Reducing each adaptation stage to 15%/75%/10% of Chain 1: the given number of warmup iterations: Chain 1: init_buffer = 7 Chain 1: adapt_window = 38 Chain 1: term_buffer = 5 Chain 1: Chain 1: Chain 1: Elapsed Time: 0.002 seconds (Warm-up) Chain 1: 0.001 seconds (Sampling) Chain 1: 0.003 seconds (Total) Chain 1: Saving _problems/test-0-CRAN-9.R [ FAIL 1 | WARN 0 | SKIP 1 | PASS 0 ] ══ Skipped tests (1) ═══════════════════════════════════════════════════════════ • On CRAN (1): 'test-4-diagnostics.R:2:1' ══ Failed tests ════════════════════════════════════════════════════════════════ ── Error ('test-0-CRAN.R:9:3'): Basic functionality works ────────────────────── Error: 'model_list[[1]]$marglik' must be a 'BayesTools_marglik' object created by JAGS_bridgesampling() or bridgesampling_object(). Backtrace: ▆ 1. ├─base::suppressWarnings(...) at test-0-CRAN.R:9:3 2. │ └─base::withCallingHandlers(...) 3. └─RoBTT::RoBTT(...) 4. └─BayesTools::models_inference(object[["models"]]) 5. └─BayesTools:::.model_averaging_marglik_values(model_list) 6. └─base::vapply(...) 7. └─BayesTools (local) FUN(X[[i]], ...) 8. └─BayesTools:::.bt_marglik_value(...) 9. └─BayesTools:::.bt_validate_marglik_result(x, name) [ FAIL 1 | WARN 0 | SKIP 1 | PASS 0 ] Error: ! Test failures. Execution halted