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#!/bin/sh
set -o errexit
set -o nounset
set -o noclobber
out=/tmp/wls-regression.$$.log
trap "rm -f $out" EXIT
opt="-q --vanilla --no-save"
tests="
inst/models/passing/ContinuousOnlyWLSTest.R
tests/testthat/test-WLS-acov.R
inst/models/passing/InvalidWLS.R
inst/models/passing/MultipleGroupWLS.R
inst/models/passing/WLS+CI.R
inst/models/passing/WeightedWLS.R
inst/models/passing/exoPredWLS.R
inst/models/passing/exoPredWLS2.R
inst/models/passing/SaturatedWLSTest.R
inst/models/passing/ifa-grm1.R
inst/models/passing/jointFactorWls.R
inst/models/passing/tangleF.R
tests/testthat/test-loadDataByRow.R
inst/models/passing/automaticStarts.R
inst/models/passing/IgnoreFixedConfidenceIntervals.R
inst/models/passing/acov_regression_test.R
inst/models/nightly/MultigroupWLS.R
inst/models/nightly/thresholdModel1Factor5VariateWLS.R
inst/models/nightly/JointWLS.R
inst/models/nightly/LegacyContinuousOnlyWLSTest.R
tests/testthat/test-LegacyMultipleGroupWLS.R
inst/models/nightly/LegacyWLS+CI.R
"
# nightly/InvalidComparisonDetection.R CSOLNP only
for t in $tests; do
echo -n "$t\t"
if false; then
R $opt -f $t
else
if ! /usr/bin/time --format "%E %F %R %c" bash -c "R $opt -f $t > $out 2>&1"; then
cat $out
exit
fi
fi
done
exit 0
passing/ContinuousOnlyWLSTest.R 0:03.81 0 81633 45
passing/IntroSEM-OneFactorCov.R 0:03.97 0 82207 20
passing/MultipleGroupWLS.R 0:03.46 0 80831 7
passing/WLS+CI.R 0:14.50 0 80271 229
passing/ifa-grm1.R 0:10.73 0 127959 150
passing/jointFactorWls.R 0:18.06 0 85054 113
passing/tangleF.R 0:30.39 0 85672 98
nightly/JointWLS.R 8:13.82 0 94542 1652
nightly/MultigroupWLS.R 0:18.99 0 85125 270
nightly/thresholdModel1Factor5VariateWLS.R 1:20.04 0 140684 61771
with new backend implementation:
passing/ContinuousOnlyWLSTest.R 0:03.97 0 82737 62
passing/MultipleGroupWLS.R 0:03.35 0 65528 5
passing/WLS+CI.R 0:13.06 0 63045 252
passing/WeightedWLS.R 0:06.40 0 67673 87
passing/SaturatedWLSTest.R 0:02.04 0 62658 6
passing/ifa-grm1.R 0:04.60 0 124846 687
passing/jointFactorWls.R 0:13.10 0 83386 180
passing/tangleF.R 0:19.22 0 81016 1106
passing/automaticStarts.R 0:03.88 0 81663 127
passing/IgnoreFixedConfidenceIntervals.R 0:02.08 0 62651 56
nightly/MultigroupWLS.R 0:04.31 0 81574 89
nightly/thresholdModel1Factor5VariateWLS.R 1:02.47 0 147679 95597
nightly/JointWLS.R 0:11.83 0 82623 620
Optimized polychoric correlation:
passing/ContinuousOnlyWLSTest.R 0:04.47 0 82874 18
passing/MultipleGroupWLS.R 0:03.76 0 65894 7
passing/WLS+CI.R 0:14.38 0 63189 323
passing/WeightedWLS.R 0:06.31 0 68674 238
passing/SaturatedWLSTest.R 0:02.15 0 62700 5
passing/ifa-grm1.R 0:04.24 0 124850 75
passing/jointFactorWls.R 0:14.20 0 82976 111
passing/tangleF.R 0:19.77 0 81270 208
passing/automaticStarts.R 0:05.11 0 81788 725
passing/IgnoreFixedConfidenceIntervals.R 0:02.51 0 62523 40
nightly/MultigroupWLS.R 0:05.60 0 81879 216
nightly/thresholdModel1Factor5VariateWLS.R 1:02.69 0 168542 29155
nightly/JointWLS.R 0:05.56 0 88036 183
2019 Mar 22:
passing/ContinuousOnlyWLSTest.R 0:04.09 0 82896 32
passing/InvalidWLS.R 0:02.69 0 63122 12
passing/MultipleGroupWLS.R 0:03.62 0 72077 5
passing/WLS+CI.R 0:10.57 0 63979 24
passing/WeightedWLS.R 0:05.96 0 79809 254
passing/exoPredWLS.R 0:06.76 0 84456 62
passing/SaturatedWLSTest.R 0:02.07 0 62927 13
passing/ifa-grm1.R 0:04.05 0 125395 85
passing/jointFactorWls.R 0:11.81 0 84028 80
passing/tangleF.R 0:13.88 0 82335 96
passing/loadDataByRow.R 0:03.39 0 63880 39
passing/automaticStarts.R 0:03.99 0 82039 31
passing/IgnoreFixedConfidenceIntervals.R 0:02.11 0 62678 11
nightly/MultigroupWLS.R 0:04.56 0 82140 34
nightly/thresholdModel1Factor5VariateWLS.R 0:44.74 0 169846 9281
nightly/JointWLS.R 0:05.04 0 87819 105
2019 Nov 11
inst/models/passing/ContinuousOnlyWLSTest.R 0:03.68 1 53148 71
inst/models/passing/InvalidWLS.R 0:02.53 0 51484 321
inst/models/passing/MultipleGroupWLS.R 0:03.20 0 51481 8
inst/models/passing/WLS+CI.R 0:09.68 0 51861 90
inst/models/passing/WeightedWLS.R 0:05.41 0 51593 710
inst/models/passing/exoPredWLS.R 0:07.24 0 71010 109
inst/models/passing/exoPredWLS2.R 0:07.19 0 70583 95
inst/models/passing/SaturatedWLSTest.R 0:01.91 0 51610 3
inst/models/passing/ifa-grm1.R 0:03.60 0 56345 376
inst/models/passing/jointFactorWls.R 0:10.92 0 72018 413
inst/models/passing/tangleF.R 0:12.99 0 52260 260
tests/testthat/test-loadDataByRow.R 0:03.00 0 51620 19
inst/models/passing/automaticStarts.R 0:03.41 0 51632 33
inst/models/passing/IgnoreFixedConfidenceIntervals.R 0:01.83 0 51498 16
inst/models/nightly/MultigroupWLS.R 0:04.00 0 51971 75
inst/models/nightly/thresholdModel1Factor5VariateWLS.R 0:44.49 0 129280 18207
inst/models/nightly/JointWLS.R 0:04.77 0 84122 314
inst/models/nightly/LegacyContinuousOnlyWLSTest.R 0:03.72 0 51651 40
tests/testthat/test-LegacyMultipleGroupWLS.R 0:03.09 0 51485 8
inst/models/nightly/LegacyWLS+CI.R 0:10.94 2 52261 107
2021 Dec 23
inst/models/passing/ContinuousOnlyWLSTest.R 0:03.87 35 83849 1319
tests/testthat/test-WLS-acov.R 0:03.26 1 81309 132
inst/models/passing/InvalidWLS.R 0:02.44 0 53507 154
inst/models/passing/MultipleGroupWLS.R 0:03.77 0 74287 3475
inst/models/passing/WLS+CI.R 0:04.92 3 54053 3850
inst/models/passing/WeightedWLS.R 0:05.47 0 72411 3402
inst/models/passing/exoPredWLS.R 0:05.51 4 75808 3070
inst/models/passing/exoPredWLS2.R 0:04.70 7 76396 2463
inst/models/passing/SaturatedWLSTest.R 0:01.78 0 53535 44
inst/models/passing/ifa-grm1.R 0:03.21 9 75260 699
inst/models/passing/jointFactorWls.R 0:06.24 13 78401 4708
inst/models/passing/tangleF.R 0:06.50 1 75692 4354
tests/testthat/test-loadDataByRow.R 0:03.02 4 74711 1076
inst/models/passing/automaticStarts.R 0:03.37 0 74945 738
inst/models/passing/IgnoreFixedConfidenceIntervals.R 0:02.13 0 53248 229
inst/models/passing/acov_regression_test.R 0:02.64 0 72799 171
inst/models/nightly/MultigroupWLS.R 0:03.96 0 74886 1313
inst/models/nightly/thresholdModel1Factor5VariateWLS.R 0:22.83 1 75213 45863
inst/models/nightly/JointWLS.R 0:06.00 0 68766 3082
inst/models/nightly/LegacyContinuousOnlyWLSTest.R 0:03.46 0 77308 363
tests/testthat/test-LegacyMultipleGroupWLS.R 0:02.87 0 73400 264
inst/models/nightly/LegacyWLS+CI.R 0:05.80 2 73552 4928
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