R Under development (unstable) (2024-09-18 r87177 ucrt) -- "Unsuffered Consequences"
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> # 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(conversim)
> 
> test_check("conversim")
boundary (singular) fit: see help('isSingular')
Loading required package: Matrix
Loading required package: NLP

Attaching package: 'NLP'

The following object is masked from 'package:ggplot2':

    annotate

Loading required package: SnowballC
[ FAIL 4 | WARN 2608 | SKIP 0 | PASS 171 ]

══ Failed tests ════════════════════════════════════════════════════════════════
── Error ('test-conversation_multidyads_tests.R:9:3'): test_topic_sim_dyads works correctly ──
Error in `lme4::lFormula(formula = similarity ~ 1 + (1 | dyad_id), data = model_data, 
    control = structure(list(optimizer = "nloptwrap", restart_edge = TRUE, 
        boundary.tol = 1e-05, calc.derivs = TRUE, use.last.params = FALSE, 
        checkControl = list(check.nobs.vs.rankZ = "ignore", check.nobs.vs.nlev = "stop", 
            check.nlev.gtreq.5 = "ignore", check.nlev.gtr.1 = "stop", 
            check.nobs.vs.nRE = "stop", check.rankX = "message+drop.cols", 
            check.scaleX = "warning", check.formula.LHS = "stop"), 
        checkConv = list(check.conv.grad = list(action = "warning", 
            tol = 0.002, relTol = NULL), check.conv.singular = list(
            action = "message", tol = 1e-04), check.conv.hess = list(
            action = "warning", tol = 1e-06)), optCtrl = list()), class = c("lmerControl", 
    "merControl")))`: 0 (non-NA) cases
Backtrace:
    ▆
 1. └─conversim::test_topic_sim_dyads(...) at test-conversation_multidyads_tests.R:9:3
 2.   └─conversim::topic_sim_dyads(...)
 3.     ├─lme4::lmer(similarity ~ 1 + (1 | dyad_id), data = model_data)
 4.     │ └─base::eval(mc, parent.frame(1L))
 5.     │   └─base::eval(mc, parent.frame(1L))
 6.     └─lme4::lFormula(...)
── Error ('test-conversation_multidyads_tests.R:26:3'): test_semantic_sim_dyads works correctly ──
Error in `.dsy2dpo(.M2sym(from))`: not a positive definite matrix (and positive semidefiniteness is not checked)
Backtrace:
    ▆
 1. └─conversim::test_semantic_sim_dyads(...) at test-conversation_multidyads_tests.R:26:3
 2.   ├─base::summary(model)
 3.   └─lme4:::summary.merMod(model)
 4.     ├─stats::vcov(object, use.hessian = use.hessian)
 5.     └─lme4::vcov.merMod(object, use.hessian = use.hessian)
 6.       └─methods::as(rr, "corMatrix")
 7.         └─Matrix (local) asMethod(object)
 8.           ├─Matrix:::.dpo2cor(.dsy2dpo(.M2sym(from)))
 9.           └─Matrix:::.dsy2dpo(.M2sym(from))
── Error ('test-conversation_multidyads_tests.R:43:3'): test_stylistic_sim_dyads works correctly ──
Error in `sum(sapply(words, function(w) max(1, nchar(gsub("[^aeiouAEIOU]", 
    "", w)))))`: invalid 'type' (list) of argument
Backtrace:
    ▆
 1. └─conversim::test_stylistic_sim_dyads(dyad_example_data, window_size = 3) at test-conversation_multidyads_tests.R:43:3
 2.   └─conversim::stylistic_sim_dyads(conversations, window_size)
 3.     └─conversim::stylistic_similarity(window1, window2)
 4.       └─conversim (local) calculate_features(text1)
── Error ('test-conversation_multidyads_tests.R:60:3'): All similarity methods produce consistent results ──
Error in `lme4::lFormula(formula = similarity ~ 1 + (1 | dyad_id), data = model_data, 
    control = structure(list(optimizer = "nloptwrap", restart_edge = TRUE, 
        boundary.tol = 1e-05, calc.derivs = TRUE, use.last.params = FALSE, 
        checkControl = list(check.nobs.vs.rankZ = "ignore", check.nobs.vs.nlev = "stop", 
            check.nlev.gtreq.5 = "ignore", check.nlev.gtr.1 = "stop", 
            check.nobs.vs.nRE = "stop", check.rankX = "message+drop.cols", 
            check.scaleX = "warning", check.formula.LHS = "stop"), 
        checkConv = list(check.conv.grad = list(action = "warning", 
            tol = 0.002, relTol = NULL), check.conv.singular = list(
            action = "message", tol = 1e-04), check.conv.hess = list(
            action = "warning", tol = 1e-06)), optCtrl = list()), class = c("lmerControl", 
    "merControl")))`: 0 (non-NA) cases
Backtrace:
    ▆
 1. └─conversim::test_topic_sim_dyads(...) at test-conversation_multidyads_tests.R:60:3
 2.   └─conversim::topic_sim_dyads(...)
 3.     ├─lme4::lmer(similarity ~ 1 + (1 | dyad_id), data = model_data)
 4.     │ └─base::eval(mc, parent.frame(1L))
 5.     │   └─base::eval(mc, parent.frame(1L))
 6.     └─lme4::lFormula(...)

[ FAIL 4 | WARN 2608 | SKIP 0 | PASS 171 ]
Error: Test failures
Execution halted