Package check result: OK Changes to worse in reverse depends: Package: RoBMA Check: examples New result: ERROR Running examples in ‘RoBMA-Ex.R’ failed The error most likely occurred in: > base::assign(".ptime", proc.time(), pos = "CheckExEnv") > ### Name: check_setup > ### Title: Prints summary of '"RoBMA"' ensemble implied by the specified > ### priors > ### Aliases: check_setup check_setup.RoBMA > > ### ** Examples > > # check default RoBMA setup > check_setup() Error in prior_weightfunction(distribution = "two.sided", parameters = list(alpha = c(1, : unused arguments (distribution = "two.sided", parameters = list(alpha = c(1, 1), steps = c(0.05))) Calls: check_setup ... .check_and_list_priors -> .check_and_list_component_priors Execution halted Package: RoBMA Check: for code/documentation mismatches New result: WARNING 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) Docs: function(distribution, parameters, prior_weights = 1) Argument names in code not in docs: side steps weights reference Argument names in docs not in code: distribution parameters Mismatches in argument names: Position: 1 Code: side Docs: distribution Position: 2 Code: steps Docs: parameters Position: 3 Code: weights Docs: prior_weights Package: RoBMA Check: R code for possible problems New result: NOTE .check_and_list_priors: possible error in prior_weightfunction(distribution = "two.sided", parameters = list(alpha = c(1, 1), steps = c(0.05)), prior_weights = 1/12): unused arguments (distribution = "two.sided", parameters = list(alpha = c(1, 1), steps = c(0.05))) .check_and_list_priors: possible error in prior_weightfunction(distribution = "two.sided", parameters = list(alpha = c(1, 1, 1), steps = c(0.05, 0.1)), prior_weights = 1/12): unused arguments (distribution = "two.sided", parameters = list(alpha = c(1, 1, 1), steps = c(0.05, 0.1))) .check_and_list_priors: possible error in prior_weightfunction(distribution = "one.sided", parameters = list(alpha = c(1, 1), steps = c(0.05)), prior_weights = 1/12): unused arguments (distribution = "one.sided", parameters = list(alpha = c(1, 1), steps = c(0.05))) .check_and_list_priors: possible error in prior_weightfunction(distribution = "one.sided", parameters = list(alpha = c(1, 1, 1), steps = c(0.025, 0.05)), prior_weights = 1/12): unused arguments (distribution = "one.sided", parameters = list(alpha = c(1, 1, 1), steps = c(0.025, 0.05))) .check_and_list_priors: possible error in prior_weightfunction(distribution = "one.sided", parameters = list(alpha = c(1, 1, 1), steps = c(0.05, 0.5)), prior_weights = 1/12): unused arguments (distribution = "one.sided", parameters = list(alpha = c(1, 1, 1), steps = c(0.05, 0.5))) .check_and_list_priors: possible error in prior_weightfunction(distribution = "one.sided", parameters = list(alpha = c(1, 1, 1, 1), steps = c(0.025, 0.05, 0.5)), prior_weights = 1/12): unused arguments (distribution = "one.sided", parameters = list(alpha = c(1, 1, 1, 1), steps = c(0.025, 0.05, 0.5))) .check_and_list_priors: possible error in prior_weightfunction(distribution = "two.sided", parameters = list(alpha = c(1, 1), steps = c(0.05)), prior_weights = 1/2): unused arguments (distribution = "two.sided", parameters = list(alpha = c(1, 1), steps = c(0.05))) .check_and_list_priors: possible error in prior_weightfunction(distribution = "two.sided", parameters = list(alpha = c(1, 1, 1), steps = c(0.05, 0.1)), prior_weights = 1/2): unused arguments (distribution = "two.sided", parameters = list(alpha = c(1, 1, 1), steps = c(0.05, 0.1))) check_setup: possible error in prior_weightfunction(distribution = "two.sided", parameters = list(alpha = c(1, 1), steps = c(0.05)), prior_weights = 1/12): unused arguments (distribution = "two.sided", parameters = list(alpha = c(1, 1), steps = c(0.05))) check_setup: possible error in prior_weightfunction(distribution = "two.sided", parameters = list(alpha = c(1, 1, 1), steps = c(0.05, 0.1)), prior_weights = 1/12): unused arguments (distribution = "two.sided", parameters = list(alpha = c(1, 1, 1), steps = c(0.05, 0.1))) check_setup: possible error in prior_weightfunction(distribution = "one.sided", parameters = list(alpha = c(1, 1), steps = c(0.05)), prior_weights = 1/12): unused arguments (distribution = "one.sided", parameters = list(alpha = c(1, 1), steps = c(0.05))) check_setup: possible error in prior_weightfunction(distribution = "one.sided", parameters = list(alpha = c(1, 1, 1), steps = c(0.025, 0.05)), prior_weights = 1/12): unused arguments (distribution = "one.sided", parameters = list(alpha = c(1, 1, 1), steps = c(0.025, 0.05))) check_setup: possible error in prior_weightfunction(distribution = "one.sided", parameters = list(alpha = c(1, 1, 1), steps = c(0.05, 0.5)), prior_weights = 1/12): unused arguments (distribution = "one.sided", parameters = list(alpha = c(1, 1, 1), steps = c(0.05, 0.5))) check_setup: possible error in prior_weightfunction(distribution = "one.sided", parameters = list(alpha = c(1, 1, 1, 1), steps = c(0.025, 0.05, 0.5)), prior_weights = 1/12): unused arguments (distribution = "one.sided", parameters = list(alpha = c(1, 1, 1, 1), steps = c(0.025, 0.05, 0.5))) check_setup.RoBMA: possible error in prior_weightfunction(distribution = "two.sided", parameters = list(alpha = c(1, 1), steps = c(0.05)), prior_weights = 1/12): unused arguments (distribution = "two.sided", parameters = list(alpha = c(1, 1), steps = c(0.05))) check_setup.RoBMA: possible error in prior_weightfunction(distribution = "two.sided", parameters = list(alpha = c(1, 1, 1), steps = c(0.05, 0.1)), prior_weights = 1/12): unused arguments (distribution = "two.sided", parameters = list(alpha = c(1, 1, 1), steps = c(0.05, 0.1))) check_setup.RoBMA: possible error in prior_weightfunction(distribution = "one.sided", parameters = list(alpha = c(1, 1), steps = c(0.05)), prior_weights = 1/12): unused arguments (distribution = "one.sided", parameters = list(alpha = c(1, 1), steps = c(0.05))) check_setup.RoBMA: possible error in prior_weightfunction(distribution = "one.sided", parameters = list(alpha = c(1, 1, 1), steps = c(0.025, 0.05)), prior_weights = 1/12): unused arguments (distribution = "one.sided", parameters = list(alpha = c(1, 1, 1), steps = c(0.025, 0.05))) check_setup.RoBMA: possible error in prior_weightfunction(distribution = "one.sided", parameters = list(alpha = c(1, 1, 1), steps = c(0.05, 0.5)), prior_weights = 1/12): unused arguments (distribution = "one.sided", parameters = list(alpha = c(1, 1, 1), steps = c(0.05, 0.5))) check_setup.RoBMA: possible error in prior_weightfunction(distribution = "one.sided", parameters = list(alpha = c(1, 1, 1, 1), steps = c(0.025, 0.05, 0.5)), prior_weights = 1/12): unused arguments (distribution = "one.sided", parameters = list(alpha = c(1, 1, 1, 1), steps = c(0.025, 0.05, 0.5))) check_setup.RoBMA.reg: possible error in prior_weightfunction(distribution = "two.sided", parameters = list(alpha = c(1, 1), steps = c(0.05)), prior_weights = 1/12): unused arguments (distribution = "two.sided", parameters = list(alpha = c(1, 1), steps = c(0.05))) check_setup.RoBMA.reg: possible error in prior_weightfunction(distribution = "two.sided", parameters = list(alpha = c(1, 1, 1), steps = c(0.05, 0.1)), prior_weights = 1/12): unused arguments (distribution = "two.sided", parameters = list(alpha = c(1, 1, 1), steps = c(0.05, 0.1))) check_setup.RoBMA.reg: possible error in prior_weightfunction(distribution = "one.sided", parameters = list(alpha = c(1, 1), steps = c(0.05)), prior_weights = 1/12): unused arguments (distribution = "one.sided", parameters = list(alpha = c(1, 1), steps = c(0.05))) check_setup.RoBMA.reg: possible error in prior_weightfunction(distribution = "one.sided", parameters = list(alpha = c(1, 1, 1), steps = c(0.025, 0.05)), prior_weights = 1/12): unused arguments (distribution = "one.sided", parameters = list(alpha = c(1, 1, 1), steps = c(0.025, 0.05))) check_setup.RoBMA.reg: possible error in prior_weightfunction(distribution = "one.sided", parameters = list(alpha = c(1, 1, 1), steps = c(0.05, 0.5)), prior_weights = 1/12): unused arguments (distribution = "one.sided", parameters = list(alpha = c(1, 1, 1), steps = c(0.05, 0.5))) check_setup.RoBMA.reg: possible error in prior_weightfunction(distribution = "one.sided", parameters = list(alpha = c(1, 1, 1, 1), steps = c(0.025, 0.05, 0.5)), prior_weights = 1/12): unused arguments (distribution = "one.sided", parameters = list(alpha = c(1, 1, 1, 1), steps = c(0.025, 0.05, 0.5))) check_setup.reg: possible error in prior_weightfunction(distribution = "two.sided", parameters = list(alpha = c(1, 1), steps = c(0.05)), prior_weights = 1/12): unused arguments (distribution = "two.sided", parameters = list(alpha = c(1, 1), steps = c(0.05))) check_setup.reg: possible error in prior_weightfunction(distribution = "two.sided", parameters = list(alpha = c(1, 1, 1), steps = c(0.05, 0.1)), prior_weights = 1/12): unused arguments (distribution = "two.sided", parameters = list(alpha = c(1, 1, 1), steps = c(0.05, 0.1))) check_setup.reg: possible error in prior_weightfunction(distribution = "one.sided", parameters = list(alpha = c(1, 1), steps = c(0.05)), prior_weights = 1/12): unused arguments (distribution = "one.sided", parameters = list(alpha = c(1, 1), steps = c(0.05))) check_setup.reg: possible error in prior_weightfunction(distribution = "one.sided", parameters = list(alpha = c(1, 1, 1), steps = c(0.025, 0.05)), prior_weights = 1/12): unused arguments (distribution = "one.sided", parameters = list(alpha = c(1, 1, 1), steps = c(0.025, 0.05))) check_setup.reg: possible error in prior_weightfunction(distribution = "one.sided", parameters = list(alpha = c(1, 1, 1), steps = c(0.05, 0.5)), prior_weights = 1/12): unused arguments (distribution = "one.sided", parameters = list(alpha = c(1, 1, 1), steps = c(0.05, 0.5))) check_setup.reg: possible error in prior_weightfunction(distribution = "one.sided", parameters = list(alpha = c(1, 1, 1, 1), steps = c(0.025, 0.05, 0.5)), prior_weights = 1/12): unused arguments (distribution = "one.sided", parameters = list(alpha = c(1, 1, 1, 1), steps = c(0.025, 0.05, 0.5))) set_default_priors: possible error in prior_weightfunction(distribution = "two.sided", parameters = list(alpha = c(1, 1), steps = c(0.05)), prior_weights = 1/12): unused arguments (distribution = "two.sided", parameters = list(alpha = c(1, 1), steps = c(0.05))) set_default_priors: possible error in prior_weightfunction(distribution = "two.sided", parameters = list(alpha = c(1, 1, 1), steps = c(0.05, 0.1)), prior_weights = 1/12): unused arguments (distribution = "two.sided", parameters = list(alpha = c(1, 1, 1), steps = c(0.05, 0.1))) set_default_priors: possible error in prior_weightfunction(distribution = "one.sided", parameters = list(alpha = c(1, 1), steps = c(0.05)), prior_weights = 1/12): unused arguments (distribution = "one.sided", parameters = list(alpha = c(1, 1), steps = c(0.05))) set_default_priors: possible error in prior_weightfunction(distribution = "one.sided", parameters = list(alpha = c(1, 1, 1), steps = c(0.025, 0.05)), prior_weights = 1/12): unused arguments (distribution = "one.sided", parameters = list(alpha = c(1, 1, 1), steps = c(0.025, 0.05))) set_default_priors: possible error in prior_weightfunction(distribution = "one.sided", parameters = list(alpha = c(1, 1, 1), steps = c(0.05, 0.5)), prior_weights = 1/12): unused arguments (distribution = "one.sided", parameters = list(alpha = c(1, 1, 1), steps = c(0.05, 0.5))) set_default_priors: possible error in prior_weightfunction(distribution = "one.sided", parameters = list(alpha = c(1, 1, 1, 1), steps = c(0.025, 0.05, 0.5)), prior_weights = 1/12): unused arguments (distribution = "one.sided", parameters = list(alpha = c(1, 1, 1, 1), steps = c(0.025, 0.05, 0.5))) Package: RoBMA Check: tests New result: ERROR Running ‘testthat.R’ [1s/1s] Running the tests in ‘tests/testthat.R’ failed. Complete output: > library(testthat) > library(vdiffr) > library(RoBMA) Loading required namespace: runjags Loading required namespace: mvtnorm RoBMA version 3.3 now features spike-and-slab style model-averaging via the 'algorithm = "ss"' argument. See 'vignette("FastRoBMA", package = "RoBMA")' for more details ('algorithm = "ss"' argument will become the default setting in the future major release of the package). > > test_check("RoBMA") Saving _problems/test-00-CRAN-13.R [ FAIL 1 | WARN 0 | SKIP 0 | PASS 0 ] ══ Failed tests ════════════════════════════════════════════════════════════════ ── Error ('test-00-CRAN.R:13:3'): Basic functionality works ──────────────────── Error in `prior_weightfunction(distribution = "two.sided", parameters = list(alpha = c(1, 1), steps = c(0.05)), prior_weights = 1/12)`: unused arguments (distribution = "two.sided", parameters = list(alpha = c(1, 1), steps = c(0.05))) Backtrace: ▆ 1. ├─base::suppressWarnings(...) at test-00-CRAN.R:13:3 2. │ └─base::withCallingHandlers(...) 3. └─RoBMA::RoBMA(...) 4. ├─RoBMA:::.check_and_list_priors(...) 5. │ └─RoBMA:::.check_and_list_component_priors(...) 6. └─RoBMA::set_default_priors("bias", rescale = rescale_priors) [ FAIL 1 | WARN 0 | SKIP 0 | PASS 0 ] Error: ! Test failures. Execution halted Package: RoBMA Check: whether package can be installed New result: WARNING Found the following significant warnings: Note: possible error in 'prior_weightfunction(distribution = "two.sided", ': unused arguments (distribution = "two.sided", parameters = list(alpha = c(1, 1), steps = c(0.05))) Note: possible error in 'prior_weightfunction(distribution = "two.sided", ': unused arguments (distribution = "two.sided", parameters = list(alpha = c(1, 1, 1), steps = c(0.05, 0.1))) Note: possible error in 'prior_weightfunction(distribution = "one.sided", ': unused arguments (distribution = "one.sided", parameters = list(alpha = c(1, 1), steps = c(0.05))) Note: possible error in 'prior_weightfunction(distribution = "one.sided", ': unused arguments (distribution = "one.sided", parameters = list(alpha = c(1, 1, 1), steps = c(0.025, 0.05))) Note: possible error in 'prior_weightfunction(distribution = "one.sided", ': unused arguments (distribution = "one.sided", parameters = list(alpha = c(1, 1, 1), steps = c(0.05, 0.5))) Note: possible error in 'prior_weightfunction(distribution = "one.sided", ': unused arguments (distribution = "one.sided", parameters = list(alpha = c(1, 1, 1, 1), steps = c(0.025, 0.05, 0.5))) See ‘/home/hornik/tmp/CRAN_recheck/RoBMA.Rcheck/00install.out’ for details. Information on the location(s) of code generating the ‘Note’s can be obtained by re-running with environment variable R_KEEP_PKG_SOURCE set to ‘yes’. Used C compiler: ‘gcc-15 (Debian 15.2.0-17) 15.2.0’ Used C++ compiler: ‘g++-15 (Debian 15.2.0-17) 15.2.0’ Package: RoBSA Check: tests New result: ERROR Running ‘testthat.R’ [7s/7s] 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-30.R Saving _problems/test-0-CRAN-61.R [ FAIL 2 | WARN 0 | SKIP 0 | PASS 1 ] ══ Failed tests ════════════════════════════════════════════════════════════════ ── Failure ('test-0-CRAN.R:22:3'): Basic functionality works ─────────────────── Expected `capture_output_lines(fit, print = TRUE, width = 150)` to equal `c(...)`. Differences: 1/7 mismatches x[7]: "-0.1492768 -0.2029159 " y[7]: "-0.1708049 -0.1788191 " ── Failure ('test-0-CRAN.R:32:3'): Basic functionality works ─────────────────── Expected `capture_output_lines(summary(fit), print = TRUE, width = 150)` to equal `c(...)`. Differences: 12/28 mismatches x[8]: "exp-aft 4/20 0.200 0.362 2.272" y[8]: "exp-aft 4/20 0.200 0.361 2.257" x[9]: "weibull-aft 4/20 0.200 0.153 0.721" y[9]: "weibull-aft 4/20 0.200 0.156 0.741" x[10]: "lnorm-aft 4/20 0.200 0.149 0.702" y[10]: "lnorm-aft 4/20 0.200 0.146 0.684" x[11]: "llogis-aft 4/20 0.200 0.142 0.662" y[11]: "llogis-aft 4/20 0.200 0.146 0.682" x[12]: "gamma-aft 4/20 0.200 0.194 0.961" y[12]: "gamma-aft 4/20 0.200 0.191 0.946" [ FAIL 2 | WARN 0 | SKIP 0 | PASS 1 ] Error: ! Test failures. Execution halted