CRAN Package Check Results for Package ForeCA

Last updated on 2026-09-22 07:50:33 CEST.

Flavor	Version	Tinstall	Tcheck	Ttotal	Status	Flags
r-devel-linux-x86_64-debian-clang	0.2.8-1	3.38	163.11	166.49	OK
r-devel-linux-x86_64-debian-gcc	0.2.8-1	2.46	109.72	112.18	OK
r-devel-linux-x86_64-fedora-clang	0.2.8-1			100.98	OK
r-devel-linux-x86_64-fedora-gcc	0.2.8-1			114.54	OK
r-devel-windows-x86_64	0.2.8-1	5.00	159.00	164.00	OK
r-patched-linux-x86_64	0.2.8-1	3.74	155.90	159.64	OK
r-release-linux-x86_64	0.2.8-1	3.14	157.14	160.28	OK
r-release-macos-arm64	0.2.8-1	1.00	73.00	74.00	OK
r-release-macos-x86_64	0.2.8-1	3.00	246.00	249.00	OK
r-release-windows-x86_64	0.2.8-1	4.00	157.00	161.00	OK
r-oldrel-macos-arm64	0.2.8-1	1.00	53.00	54.00	ERROR
r-oldrel-macos-x86_64	0.2.8-1	2.00	238.00	240.00	OK
r-oldrel-windows-x86_64	0.2.8-1	5.00	206.00	211.00	OK

Check Details

Version: 0.2.8-1
Check: tests
Result: ERROR Running ‘testthat.R’ [6s/6s] Running the tests in ‘tests/testthat.R’ failed. Complete output: > library(testthat) > test_check("ForeCA") Loading required package: ForeCA This is 'ForeCA' version 0.2.8.1. See https://github.com/gmgeorg/ForeCA for latest updates and citation("ForeCA"). May the ForeC be with you. Seed used in testing 548676 $estimate $weightvector.trace Series 1 Series 2 Series 3 Series 4 Series 5 Iter 0 0.8508559 0.1638361 0.3256218 0.15438309 0.3454537 Iter 1 0.8624697 0.1740986 0.3023916 0.10648321 0.3507939 Iter 2 0.8666853 0.1816373 0.2933533 0.08954103 0.3489854 Iter 3 0.8685611 0.1855961 0.2895743 0.08322078 0.3469536 Iter 4 0.8694451 0.1874853 0.2879162 0.08070921 0.3456945 Iter 5 0.8698647 0.1883562 0.2871707 0.07966136 0.3450282 Iter 6 0.8700626 0.1887523 0.2868316 0.07920956 0.3446984 Iter 7 0.8701553 0.1889317 0.2866767 0.07901062 0.3445408 $h.trace [1] 0.6081042 0.6056372 0.6052891 0.6052296 0.6052182 0.6052160 0.6052155 [8] 0.6052154 $h.trace.univ [1] 0.6088211 0.6063578 0.6060110 0.6059520 0.6059408 0.6059386 0.6059382 [8] 0.6059381 $Omega.trace [1] 39.11789 39.36422 39.39890 39.40480 39.40592 39.40614 39.40618 39.40619 $Omega.trace.univ [1] 39.10870 39.35343 39.39143 39.39964 39.40197 39.40278 39.40310 39.40323 $Omega [1] 39.40619 $h [1] 0.6052154 $weightvector Series 1 Series 2 Series 3 Series 4 Series 5 [1,] 0.8701553 0.1889317 0.2866767 0.07901062 0.3445408 $iterations [1] 7 $converged [1] TRUE attr(,"class") [1] "foreca.EM.one_weightvector" $algorithm.control $algorithm.control$tol [1] 1e-06 $algorithm.control$type [1] "EM" $algorithm.control$max.iter [1] 50 $algorithm.control$num.starts [1] 10 $spectrum.control $spectrum.control$method [1] "mvspec" $spectrum.control$smoothing [1] FALSE $entropy.control $entropy.control$base [1] 200 $entropy.control$method [1] "MLE" $entropy.control$prior.probs [1] 0.005 0.005 0.005 0.005 0.005 0.005 0.005 0.005 0.005 0.005 0.005 0.005 [13] 0.005 0.005 0.005 0.005 0.005 0.005 0.005 0.005 0.005 0.005 0.005 0.005 [25] 0.005 0.005 0.005 0.005 0.005 0.005 0.005 0.005 0.005 0.005 0.005 0.005 [37] 0.005 0.005 0.005 0.005 0.005 0.005 0.005 0.005 0.005 0.005 0.005 0.005 [49] 0.005 0.005 0.005 0.005 0.005 0.005 0.005 0.005 0.005 0.005 0.005 0.005 [61] 0.005 0.005 0.005 0.005 0.005 0.005 0.005 0.005 0.005 0.005 0.005 0.005 [73] 0.005 0.005 0.005 0.005 0.005 0.005 0.005 0.005 0.005 0.005 0.005 0.005 [85] 0.005 0.005 0.005 0.005 0.005 0.005 0.005 0.005 0.005 0.005 0.005 0.005 [97] 0.005 0.005 0.005 0.005 0.005 0.005 0.005 0.005 0.005 0.005 0.005 0.005 [109] 0.005 0.005 0.005 0.005 0.005 0.005 0.005 0.005 0.005 0.005 0.005 0.005 [121] 0.005 0.005 0.005 0.005 0.005 0.005 0.005 0.005 0.005 0.005 0.005 0.005 [133] 0.005 0.005 0.005 0.005 0.005 0.005 0.005 0.005 0.005 0.005 0.005 0.005 [145] 0.005 0.005 0.005 0.005 0.005 0.005 0.005 0.005 0.005 0.005 0.005 0.005 [157] 0.005 0.005 0.005 0.005 0.005 0.005 0.005 0.005 0.005 0.005 0.005 0.005 [169] 0.005 0.005 0.005 0.005 0.005 0.005 0.005 0.005 0.005 0.005 0.005 0.005 [181] 0.005 0.005 0.005 0.005 0.005 0.005 0.005 0.005 0.005 0.005 0.005 0.005 [193] 0.005 0.005 0.005 0.005 0.005 0.005 0.005 0.005 $entropy.control$prior.weight [1] 0.001 $entropy.control$threshold [1] 0 $best.attempt [1] "SFA.slow" $h [1] 0.6052154 $iterations [1] 7 $Omega.trace [1] 39.11789 39.36422 39.39890 39.40480 39.40592 39.40614 39.40618 39.40619 $converged [1] TRUE $weightvector Series 1 Series 2 Series 3 Series 4 Series 5 [1,] 0.8701553 0.1889317 0.2866767 0.07901062 0.3445408 $score Time Series: Start = 1 End = 200 Frequency = 1 Series 1 [1,] 0.531007716 [2,] -0.242381264 [3,] 1.409868023 [4,] -0.496304337 [5,] 1.716055552 [6,] 1.215954077 [7,] 1.451089896 [8,] 0.104152544 [9,] 1.359256702 [10,] 0.285875177 [11,] 1.149123825 [12,] 0.967830540 [13,] 1.337378938 [14,] 1.101469353 [15,] 1.973763846 [16,] 1.099759321 [17,] 1.333472740 [18,] 0.952254728 [19,] 0.126525833 [20,] 0.503903133 [21,] -0.121605801 [22,] 0.099599114 [23,] -0.174723472 [24,] -0.766188032 [25,] -0.877366634 [26,] 0.151427335 [27,] -0.282278510 [28,] 0.907577459 [29,] 0.071132618 [30,] 0.528527172 [31,] 0.145771561 [32,] -0.180752132 [33,] -0.524587068 [34,] 0.728527790 [35,] -0.339084484 [36,] 1.159065923 [37,] -0.548097651 [38,] -0.291667390 [39,] -0.627526287 [40,] 0.198277587 [41,] 0.203378208 [42,] 1.005445894 [43,] -0.447978457 [44,] 1.363051139 [45,] -0.259644397 [46,] 1.117157290 [47,] 0.315163991 [48,] 0.559882928 [49,] -0.651240004 [50,] 0.009362618 [51,] -0.304379137 [52,] -0.822919727 [53,] -0.723055455 [54,] -0.716653382 [55,] -0.721987657 [56,] -0.793610174 [57,] -0.528863058 [58,] -1.111243550 [59,] -0.071374662 [60,] -0.446230070 [61,] 0.331060473 [62,] -0.793260476 [63,] 0.524959324 [64,] -1.414416234 [65,] -0.325846868 [66,] -1.755264648 [67,] -1.802505363 [68,] -0.968185758 [69,] -1.834274976 [70,] -1.382675094 [71,] -1.882340829 [72,] -1.370481240 [73,] -0.931984720 [74,] -0.282723629 [75,] -1.466617936 [76,] -1.274214194 [77,] -2.163751069 [78,] -2.218751946 [79,] -1.127605309 [80,] -1.962034934 [81,] -1.866183835 [82,] -2.209758349 [83,] -1.471593918 [84,] -1.760257753 [85,] -1.673410936 [86,] -2.312339442 [87,] -2.124042454 [88,] -1.287288091 [89,] -1.357638657 [90,] -0.207126952 [91,] -1.205260846 [92,] -0.764016805 [93,] -1.442218131 [94,] -1.342322292 [95,] -1.186217102 [96,] -0.541453489 [97,] -0.681423129 [98,] -0.353442655 [99,] 0.065747247 [100,] 0.434787571 [101,] 0.020343267 [102,] -0.038566702 [103,] 0.711138734 [104,] 0.283601678 [105,] 1.363741780 [106,] 0.577228013 [107,] 0.546651205 [108,] 0.747084152 [109,] 0.351715093 [110,] 0.851474130 [111,] -0.052121981 [112,] -0.518415576 [113,] 0.026586666 [114,] -0.280332539 [115,] 0.486560673 [116,] -1.010499266 [117,] 0.577864353 [118,] 0.088537178 [119,] 1.086391240 [120,] 0.841973481 [121,] 1.884389832 [122,] 0.542106328 [123,] 1.125791694 [124,] 0.812417670 [125,] 0.625533083 [126,] 0.918099558 [127,] 1.117545948 [128,] 0.661568597 [129,] 1.295189777 [130,] 0.973610843 [131,] 0.857014739 [132,] 0.526005218 [133,] 1.238805734 [134,] 0.703037589 [135,] 1.385842627 [136,] 0.655007379 [137,] 1.691197866 [138,] 0.267806343 [139,] 1.650345132 [140,] 1.033591479 [141,] 1.558415331 [142,] 1.435358682 [143,] 1.794093075 [144,] 1.134096802 [145,] 1.515495906 [146,] 1.351195500 [147,] 0.569260043 [148,] 0.879263479 [149,] 1.798577922 [150,] 0.184137791 [151,] 0.582924483 [152,] 0.835844340 [153,] 1.084250908 [154,] 1.492123583 [155,] 1.184609364 [156,] 1.535874852 [157,] 0.896541067 [158,] 0.875480357 [159,] 0.988240287 [160,] 0.307485677 [161,] 1.187293443 [162,] -0.123912466 [163,] 0.089205808 [164,] -0.594852154 [165,] -0.014191160 [166,] -1.012829253 [167,] -0.021893739 [168,] -0.105140697 [169,] -0.143783306 [170,] 0.176642079 [171,] -0.260711573 [172,] 0.278283309 [173,] -0.890847937 [174,] 0.023817187 [175,] -1.218054942 [176,] -0.554278834 [177,] -0.467698915 [178,] -0.187185196 [179,] -0.616961190 [180,] -0.670460555 [181,] -1.228137631 [182,] -1.287313976 [183,] -0.891122657 [184,] -1.600040146 [185,] 0.189567929 [186,] -0.903721844 [187,] -0.571664576 [188,] -0.589397135 [189,] -0.790509118 [190,] -0.945152831 [191,] -0.398301692 [192,] -0.576784233 [193,] 0.095190442 [194,] -0.656570997 [195,] 0.761527861 [196,] -0.852501961 [197,] 0.246820528 [198,] -0.291474967 [199,] 0.881657650 [200,] -0.817615345 attr(,"whitened") [1] TRUE $Omega.init [1] 39.1087 attr(,"unit") [1] "%" $Omega [1] 39.40619 $best.f [1] 9.276680e-02 2.015693e-01 3.170411e-03 4.215030e-02 1.966489e-03 [6] 5.388620e-03 8.014078e-03 9.595580e-05 3.051171e-03 4.381243e-04 [11] 6.122249e-03 3.120716e-03 9.639396e-03 7.682677e-03 4.659447e-04 [16] 1.158130e-03 3.027707e-03 5.281574e-04 6.304311e-04 3.024080e-05 [21] 3.376575e-03 9.527856e-04 1.637330e-03 7.020073e-04 1.320455e-03 [26] 1.075432e-03 1.629566e-03 2.120256e-03 5.572384e-04 9.992411e-04 [31] 8.343970e-05 1.990236e-03 3.048766e-04 7.068383e-05 1.286122e-03 [36] 3.434084e-04 4.705033e-04 1.049453e-03 6.489878e-04 9.688063e-04 [41] 1.688313e-03 3.462617e-04 2.758472e-04 1.536050e-04 3.781979e-04 [46] 1.510636e-04 1.400191e-04 2.092933e-04 1.145014e-03 7.511327e-05 [51] 2.424899e-05 8.251278e-04 2.750060e-04 1.325533e-04 3.934879e-05 [56] 2.896776e-04 1.289401e-03 5.174085e-04 4.275726e-04 1.723240e-04 [61] 7.395534e-04 6.644013e-05 1.393588e-03 1.006847e-03 9.951920e-04 [66] 1.685137e-04 3.162490e-04 8.929429e-04 2.064822e-04 9.060662e-04 [71] 1.073643e-03 6.584038e-04 4.434815e-04 6.496868e-04 3.615419e-03 [76] 2.023011e-04 3.916437e-04 1.795952e-03 1.781473e-04 4.726287e-04 [81] 4.756564e-04 2.500599e-03 1.261473e-04 5.798732e-04 2.810249e-04 [86] 7.444191e-04 6.115906e-04 3.321676e-03 5.037909e-04 5.313569e-03 [91] 1.288995e-03 3.795535e-03 1.955326e-03 1.259022e-03 5.653691e-05 [96] 6.128468e-03 1.756882e-02 3.675042e-03 6.055964e-03 6.425032e-03 $best.f.univ [1] 9.280584e-02 2.016842e-01 3.164935e-03 4.206686e-02 1.968451e-03 [6] 5.410595e-03 7.989901e-03 9.675048e-05 3.036389e-03 4.381671e-04 [11] 6.133954e-03 3.140127e-03 9.642182e-03 7.715123e-03 4.785350e-04 [16] 1.171440e-03 3.045749e-03 5.092051e-04 6.273320e-04 3.023488e-05 [21] 3.348931e-03 9.497734e-04 1.623818e-03 6.971748e-04 1.336827e-03 [26] 1.084332e-03 1.612804e-03 2.124447e-03 5.643469e-04 9.956337e-04 [31] 8.582415e-05 1.985959e-03 3.028976e-04 7.168036e-05 1.277593e-03 [36] 3.396795e-04 4.735710e-04 1.040407e-03 6.553005e-04 9.632931e-04 [41] 1.693622e-03 3.460259e-04 2.696614e-04 1.565952e-04 3.782033e-04 [46] 1.393840e-04 1.477018e-04 2.116761e-04 1.170383e-03 8.007365e-05 [51] 2.534625e-05 8.290728e-04 2.587884e-04 1.299230e-04 4.197085e-05 [56] 2.942903e-04 1.300815e-03 5.378603e-04 4.237361e-04 1.673180e-04 [61] 7.462312e-04 6.956334e-05 1.405294e-03 9.976091e-04 9.874679e-04 [66] 1.769881e-04 3.172637e-04 9.008014e-04 2.015485e-04 8.952347e-04 [71] 1.083226e-03 6.625184e-04 4.475467e-04 6.584209e-04 3.674006e-03 [76] 2.153315e-04 3.904965e-04 1.852217e-03 1.827897e-04 4.760030e-04 [81] 4.767325e-04 2.477752e-03 1.284588e-04 5.823268e-04 2.777058e-04 [86] 7.450050e-04 5.900756e-04 3.476483e-03 5.220919e-04 5.158883e-03 [91] 1.281293e-03 3.695016e-03 1.947027e-03 1.283622e-03 4.158765e-05 [96] 5.763557e-03 1.742827e-02 3.811271e-03 5.969818e-03 6.709775e-03 $Omega.univ [1] 39.40323 attr(,"unit") [1] "%" attr(,"class") [1] "foreca.one_weightvector" ForeCA found the top 4 ForeCs of 'kSeries' (5 time series). Out of the top 4 ForeCs, 0 are white noise. Omega(ForeC 1) = 39.4% vs. maximum Omega(kSeries) = 27.95%. This is an absolute increase of 11.45 percentage points (relative: 40.98%) in forecastability. * * * * * * * * * * Use plot(), biplot(), and summary() for more details. zero-mean: Mean absolute difference: 1.513723 unit-variance: Mean relative difference: 2.542441 uncorrelated: Mean absolute difference: 0.3752561 zero-mean: Mean absolute difference: 1.513723 unit-variance: Mean relative difference: 2.542441 uncorrelated: Mean absolute difference: 0.3752561 *** caught segfault *** address 0x1, cause 'invalid permissions' Traceback: 1: eigen(x) 2: FUN(array(newX[, i], d.call, dn.call), ...) 3: apply(spec.Series, 1, function(x) eigen(x)$values) 4: eval(code, test_env) 5: eval(code, test_env) 6: withCallingHandlers({ eval(code, test_env) new_expectations <- the$test_expectations > starting_expectations if (snapshot_skipped) { skip("On CRAN") } else if (!new_expectations && skip_on_empty) { skip_empty() }}, expectation = handle_expectation, packageNotFoundError = function(e) { if (on_cran()) { skip(paste0("{", e$package, "} is not installed.")) }}, snapshot_on_cran = function(cnd) { snapshot_skipped <<- TRUE invokeRestart("muffle_cran_snapshot")}, skip = handle_skip, warning = handle_warning, message = handle_message, error = handle_error, interrupt = handle_interrupt) 7: doTryCatch(return(expr), name, parentenv, handler) 8: tryCatchOne(expr, names, parentenv, handlers[[1L]]) 9: tryCatchList(expr, classes, parentenv, handlers) 10: tryCatch(withCallingHandlers({ eval(code, test_env) new_expectations <- the$test_expectations > starting_expectations if (snapshot_skipped) { skip("On CRAN") } else if (!new_expectations && skip_on_empty) { skip_empty() }}, expectation = handle_expectation, packageNotFoundError = function(e) { if (on_cran()) { skip(paste0("{", e$package, "} is not installed.")) }}, snapshot_on_cran = function(cnd) { snapshot_skipped <<- TRUE invokeRestart("muffle_cran_snapshot")}, skip = handle_skip, warning = handle_warning, message = handle_message, error = handle_error, interrupt = handle_interrupt), error = handle_fatal) 11: doWithOneRestart(return(expr), restart) 12: withOneRestart(expr, restarts[[1L]]) 13: withRestarts(tryCatch(withCallingHandlers({ eval(code, test_env) new_expectations <- the$test_expectations > starting_expectations if (snapshot_skipped) { skip("On CRAN") } else if (!new_expectations && skip_on_empty) { skip_empty() }}, expectation = handle_expectation, packageNotFoundError = function(e) { if (on_cran()) { skip(paste0("{", e$package, "} is not installed.")) }}, snapshot_on_cran = function(cnd) { snapshot_skipped <<- TRUE invokeRestart("muffle_cran_snapshot")}, skip = handle_skip, warning = handle_warning, message = handle_message, error = handle_error, interrupt = handle_interrupt), error = handle_fatal), end_test = function() { }) 14: test_code(code, parent.frame()) 15: test_that("mvspectrum is positive semi-definite for every frequency", { lambdas <- apply(spec.Series, 1, function(x) eigen(x)$values) lambdas.flat <- c(lambdas) expect_equal(Im(lambdas.flat), rep(0, length(lambdas.flat))) lambdas.flat <- Re(lambdas.flat) lambdas.pos <- (round(lambdas.flat, 4) >= 0) expect_true(all(lambdas.pos), info = paste0(test.msg, ";\n ", sum(!lambdas.pos), " are negative")) }) 16: eval(code, test_env) 17: eval(code, test_env) 18: withCallingHandlers({ eval(code, test_env) new_expectations <- the$test_expectations > starting_expectations if (snapshot_skipped) { skip("On CRAN") } else if (!new_expectations && skip_on_empty) { skip_empty() }}, expectation = handle_expectation, packageNotFoundError = function(e) { if (on_cran()) { skip(paste0("{", e$package, "} is not installed.")) }}, snapshot_on_cran = function(cnd) { snapshot_skipped <<- TRUE invokeRestart("muffle_cran_snapshot")}, skip = handle_skip, warning = handle_warning, message = handle_message, error = handle_error, interrupt = handle_interrupt) 19: doTryCatch(return(expr), name, parentenv, handler) 20: tryCatchOne(expr, names, parentenv, handlers[[1L]]) 21: tryCatchList(expr, classes, parentenv, handlers) 22: tryCatch(withCallingHandlers({ eval(code, test_env) new_expectations <- the$test_expectations > starting_expectations if (snapshot_skipped) { skip("On CRAN") } else if (!new_expectations && skip_on_empty) { skip_empty() }}, expectation = handle_expectation, packageNotFoundError = function(e) { if (on_cran()) { skip(paste0("{", e$package, "} is not installed.")) }}, snapshot_on_cran = function(cnd) { snapshot_skipped <<- TRUE invokeRestart("muffle_cran_snapshot")}, skip = handle_skip, warning = handle_warning, message = handle_message, error = handle_error, interrupt = handle_interrupt), error = handle_fatal) 23: doWithOneRestart(return(expr), restart) 24: withOneRestart(expr, restarts[[1L]]) 25: withRestarts(tryCatch(withCallingHandlers({ eval(code, test_env) new_expectations <- the$test_expectations > starting_expectations if (snapshot_skipped) { skip("On CRAN") } else if (!new_expectations && skip_on_empty) { skip_empty() }}, expectation = handle_expectation, packageNotFoundError = function(e) { if (on_cran()) { skip(paste0("{", e$package, "} is not installed.")) }}, snapshot_on_cran = function(cnd) { snapshot_skipped <<- TRUE invokeRestart("muffle_cran_snapshot")}, skip = handle_skip, warning = handle_warning, message = handle_message, error = handle_error, interrupt = handle_interrupt), error = handle_fatal), end_test = function() { }) 26: test_code(code = exprs, env = env, reporter = get_reporter() %||% StopReporter$new()) 27: source_file(path, env = env(env), desc = desc, shuffle = shuffle, error_call = error_call) 28: FUN(X[[i]], ...) 29: lapply(test_paths, test_one_file, env = env, desc = desc, shuffle = shuffle, error_call = error_call) 30: doTryCatch(return(expr), name, parentenv, handler) 31: tryCatchOne(expr, names, parentenv, handlers[[1L]]) 32: tryCatchList(expr, classes, parentenv, handlers) 33: tryCatch(code, testthat_abort_reporter = function(cnd) { cat(conditionMessage(cnd), "\n") NULL}) 34: with_reporter(reporters$multi, lapply(test_paths, test_one_file, env = env, desc = desc, shuffle = shuffle, error_call = error_call)) 35: test_files_serial(test_dir = test_dir, test_package = test_package, test_paths = test_paths, load_helpers = load_helpers, reporter = reporter, env = env, stop_on_failure = stop_on_failure, stop_on_warning = stop_on_warning, desc = desc, load_package = load_package, shuffle = shuffle, error_call = error_call) 36: test_files(test_dir = path, test_paths = test_paths, test_package = package, reporter = reporter, load_helpers = load_helpers, env = env, stop_on_failure = stop_on_failure, stop_on_warning = stop_on_warning, load_package = load_package, parallel = parallel, shuffle = shuffle) 37: test_dir("testthat", package = package, reporter = reporter, ..., load_package = "installed") 38: test_check("ForeCA") An irrecoverable exception occurred. R is aborting now ... Flavor: r-oldrel-macos-arm64