• using R Under development (unstable) (2025-12-24 r89227)
• using platform: x86_64-pc-linux-gnu
• R was compiled by     gcc-15 (Debian 15.2.0-11) 15.2.0     GNU Fortran (Debian 15.2.0-11) 15.2.0
• running under: Debian GNU/Linux forky/sid
• using session charset: UTF-8
• checking for file ‘mmb/DESCRIPTION’ ... OK
• checking extension type ... Package
• this is package ‘mmb’ version ‘0.13.3’
• package encoding: UTF-8
• checking CRAN incoming feasibility ... [1s/1s] NOTE Maintainer: ‘Sebastian Hönel <sebastian.honel@lnu.se>’ No Authors@R field in DESCRIPTION. Please add one, modifying   Authors@R: person(given = "Sebastian",                     family = "Hönel",                     role = c("aut", "cre"),                     email = "sebastian.honel@lnu.se") as necessary.
• checking package namespace information ... OK
• checking package dependencies ... OK
• checking if this is a source package ... OK
• checking if there is a namespace ... OK
• checking for executable files ... OK
• checking for hidden files and directories ... OK
• checking for portable file names ... OK
• checking for sufficient/correct file permissions ... OK
• checking serialization versions ... OK
• checking whether package ‘mmb’ can be installed ... OK See the install log for details.
• checking package directory ... OK
• checking for future file timestamps ... OK
• checking ‘build’ directory ... OK
• checking DESCRIPTION meta-information ... OK
• checking top-level files ... OK
• checking for left-over files ... OK
• checking index information ... OK
• checking package subdirectories ... OK
• checking code files for non-ASCII characters ... OK
• checking R files for syntax errors ... OK
• checking whether the package can be loaded ... [0s/0s] OK
• checking whether the package can be loaded with stated dependencies ... [0s/0s] OK
• checking whether the package can be unloaded cleanly ... [0s/0s] OK
• checking whether the namespace can be loaded with stated dependencies ... [0s/0s] OK
• checking whether the namespace can be unloaded cleanly ... [0s/0s] OK
• checking loading without being on the library search path ... [0s/0s] OK
• checking use of S3 registration ... OK
• checking dependencies in R code ... OK
• checking S3 generic/method consistency ... OK
• checking replacement functions ... OK
• checking foreign function calls ... OK
• checking R code for possible problems ... [4s/5s] OK
• checking Rd files ... [1s/1s] OK
• checking Rd metadata ... OK
• checking Rd line widths ... OK
• checking Rd cross-references ... OK
• checking for missing documentation entries ... OK
• checking for code/documentation mismatches ... OK
• checking Rd \usage sections ... OK
• checking Rd contents ... OK
• checking for unstated dependencies in examples ... OK
• checking LazyData ... INFO   'LazyData' is specified without a 'data' directory
• checking installed files from ‘inst/doc’ ... OK
• checking files in ‘vignettes’ ... OK
• checking examples ... [4s/5s] ERROR Running examples in ‘mmb-Ex.R’ failed The error most likely occurred in: > base::assign(".ptime", proc.time(), pos = "CheckExEnv") > ### Name: bayesProbabilityAssign > ### Title: Assign probabilities to one or more samples, given some training > ### data. > ### Aliases: bayesProbabilityAssign > ### Keywords: classification full-dependency inferencing > > ### ** Examples > > w <- mmb::getWarnings() > mmb::setWarnings(FALSE) [1] FALSE > > set.seed(84735) > rn <- base::sample(rownames(iris), 150) > dfTrain <- iris[rn[1:120], ] > dfValid <- iris[rn[121:150], !(colnames(iris) %in% "Species") ] > mmb::bayesProbabilityAssign(dfTrain, dfValid, "Species") Error in xtfrm.data.frame(list(virginica = 0.0475794229174146, versicolor = 0.0513857767508078, :   cannot xtfrm data frames Calls: <Anonymous> -> xtfrm -> xtfrm.data.frame Execution halted
• checking for unstated dependencies in ‘tests’ ... OK
• checking tests ... [22s/34s] ERROR   Running ‘helpers.R’ [0s/0s]   Running ‘testthat.R’ [21s/33s] Running the tests in ‘tests/testthat.R’ failed. Complete output:   > library(testthat)   > library(mmb)   >   > test_check("mmb")   Saving _problems/test_bayes-346.R   Saving _problems/test_bayes-429.R   Saving _problems/test_bayes-462.R   Saving _problems/test_bayesRegress-40.R   Saving _problems/test_bayesRegress-57.R   Saving _problems/test_bayesRegress-122.R   Saving _problems/test_discretization-68.R   Saving _problems/test_pdfAndProb-13.R   Saving _problems/test_pdfAndProb-21.R   Saving _problems/test_warnings-16.R   [ FAIL 10 | WARN 139 | SKIP 0 | PASS 308 ]      ══ Failed tests ════════════════════════════════════════════════════════════════   ── Error ('test_bayes.R:343:3'): the full Bayesian works with many variables ───   Error in `xtfrm.data.frame(structure(list(`4` = 0, `8` = 0, `6` = 0), row.names = 1L, class = "data.frame"))`: cannot xtfrm data frames   Backtrace:       ▆    1. └─mmb::bayesProbabilityAssign(...) at test_bayes.R:343:3    2. ├─base::xtfrm(`<df[,3]>`)    3. └─base::xtfrm.data.frame(`<df[,3]>`)   ── Error ('test_bayes.R:427:3'): assigning for multiple works using naive Bayes ──   Error in `xtfrm.data.frame(structure(list(virginica = 0.000578947368421053, versicolor = 0.000966428571428572, setosa = 0.2728171875), row.names = 1L, class = "data.frame"))`: cannot xtfrm data frames   Backtrace:       ▆    1. └─mmb::bayesProbabilityAssign(...) at test_bayes.R:427:3    2. ├─base::xtfrm(`<df[,3]>`)    3. └─base::xtfrm.data.frame(`<df[,3]>`)   ── Error ('test_bayes.R:460:3'): we can do online learning and return factors ──   Error in `xtfrm.data.frame(structure(list(setosa = 0.0133000875267292, versicolor = 0.0722285917992075, virginica = 2.60391628278781), row.names = 1L, class = "data.frame"))`: cannot xtfrm data frames   Backtrace:       ▆    1. └─mmb::bayesProbabilityAssign(...) at test_bayes.R:460:3    2. ├─base::xtfrm(`<df[,3]>`)    3. └─base::xtfrm.data.frame(`<df[,3]>`)   ── Error ('test_bayesRegress.R:36:5'): we can also sample from the most likely range only ──   Error in `xtfrm.data.frame(structure(list(rowname = "1", `1` = 0.51, `2` = 0.18, `3` = 0.11, `6` = 0.27, `5` = 0.31, `7` = 0.15, `4` = 0.17), row.names = 1L, class = "data.frame"))`: cannot xtfrm data frames   Backtrace:       ▆    1. ├─testthat::expect_warning(...) at test_bayesRegress.R:35:3    2. │ └─testthat:::quasi_capture(...)    3. │ ├─testthat (local) .capture(...)    4. │ │ └─base::withCallingHandlers(...)    5. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))    6. └─mmb::bayesRegress(...) at test_bayesRegress.R:36:5    7. ├─base::xtfrm(`<df[,8]>`)    8. └─base::xtfrm.data.frame(`<df[,8]>`)   ── Error ('test_bayesRegress.R:53:5'): custom regressor errors are handled properly ──   Error in `xtfrm.data.frame(structure(list(rowname = "1", `3` = 1.1, `1` = 0, `2` = 0), row.names = 1L, class = "data.frame"))`: cannot xtfrm data frames   Backtrace:       ▆    1. ├─testthat::expect_warning(...) at test_bayesRegress.R:52:3    2. │ └─testthat:::quasi_capture(...)    3. │ ├─testthat (local) .capture(...)    4. │ │ └─base::withCallingHandlers(...)    5. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))    6. └─mmb::bayesRegress(...) at test_bayesRegress.R:53:5    7. ├─base::xtfrm(`<df[,4]>`)    8. └─base::xtfrm.data.frame(`<df[,4]>`)   ── Error ('test_bayesRegress.R:120:3'): regression for multiple values works in simple and online, too ──   Error in `xtfrm.data.frame(structure(list(rowname = "1", `2` = 0.186029411764706, `1` = 0.071875, `3` = 0.167013888888889, `4` = 0.00379322681452557, `6` = 0.00570421505598071, `5` = 1.49004290740905, `7` = 0.174182093347807), row.names = 1L, class = "data.frame"))`: cannot xtfrm data frames   Backtrace:       ▆    1. └─mmb::bayesRegressAssign(...) at test_bayesRegress.R:120:3    2. └─mmb::bayesRegress(...)    3. ├─base::xtfrm(`<df[,8]>`)    4. └─base::xtfrm.data.frame(`<df[,8]>`)   ── Failure ('test_discretization.R:68:3'): numRanges is not required ───────────   Expected `discretizeVariableToRanges(c(1))` to produce warnings.   ── Failure ('test_pdfAndProb.R:11:3'): estimation for small data works ─────────   Expected `{ ... }` to produce warnings.   ── Failure ('test_pdfAndProb.R:19:3'): estimation for small data works ─────────   Expected `{ ... }` to produce warnings.   ── Failure ('test_warnings.R:16:3'): en-/disabling warnings/errors works ───────   Expected `mmb::getWarnings()` to be TRUE.   Differences:   `actual`: FALSE   `expected`: TRUE         [ FAIL 10 | WARN 139 | SKIP 0 | PASS 308 ]   Error:   ! Test failures.   Execution halted
• checking for unstated dependencies in vignettes ... OK
• checking package vignettes ... OK
• checking re-building of vignette outputs ... [5s/6s] OK
• checking PDF version of manual ... [4s/7s] OK
• checking HTML version of manual ... [2s/3s] OK
• checking for non-standard things in the check directory ... OK
• DONE

Status: 2 ERRORs, 1 NOTE