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Type 'q()' to quit R. > library(testthat) > library(semmcci) > > test_check("semmcci") Monte Carlo Confidence Intervals est se R 0.05% 0.5% 2.5% 97.5% 99.5% 99.95% visual=~x1 1.0000 0.0000 100 1.0000 1.0000 1.0000 1.0000 1.0000 1.0000 visual=~x2 0.5535 0.0953 100 0.3152 0.3219 0.3788 0.7583 0.7739 0.7773 visual=~x3 0.7294 0.1056 100 0.4849 0.4970 0.5152 0.9162 0.9374 0.9446 textual=~x4 1.0000 0.0000 100 1.0000 1.0000 1.0000 1.0000 1.0000 1.0000 textual=~x5 1.1131 0.0627 100 0.9018 0.9144 0.9560 1.2100 1.2398 1.2638 textual=~x6 0.9261 0.0583 100 0.8055 0.8088 0.8303 1.0472 1.0829 1.0935 speed=~x7 1.0000 0.0000 100 1.0000 1.0000 1.0000 1.0000 1.0000 1.0000 speed=~x8 1.1800 0.1697 100 0.7771 0.7878 0.8637 1.5893 1.6304 1.6317 speed=~x9 1.0815 0.1493 100 0.7294 0.7336 0.7885 1.3510 1.4575 1.5021 x1~~x1 0.5491 0.1159 100 0.2299 0.2500 0.3661 0.8271 0.9085 0.9130 x2~~x2 1.1338 0.1087 100 0.8110 0.8658 0.9563 1.3553 1.3902 1.4008 x3~~x3 0.8443 0.0923 100 0.6471 0.6495 0.6690 1.0203 1.0330 1.0332 x4~~x4 0.3712 0.0458 100 0.2712 0.2754 0.2847 0.4631 0.4761 0.4786 x5~~x5 0.4463 0.0676 100 0.2696 0.2904 0.3196 0.5737 0.6154 0.6332 x6~~x6 0.3562 0.0433 100 0.2733 0.2745 0.2843 0.4336 0.4436 0.4486 x7~~x7 0.7994 0.0718 100 0.6284 0.6348 0.6674 0.9389 0.9530 0.9535 x8~~x8 0.4877 0.0711 100 0.3335 0.3387 0.3606 0.6372 0.6687 0.6918 x9~~x9 0.5661 0.0637 100 0.4054 0.4211 0.4434 0.6714 0.7281 0.7481 visual~~visual 0.8093 0.1249 100 0.4923 0.5068 0.5707 1.0331 1.0968 1.1221 textual~~textual 0.9795 0.1185 100 0.6839 0.6980 0.7529 1.2132 1.2833 1.3314 speed~~speed 0.3837 0.0844 100 0.1406 0.1754 0.2327 0.5447 0.5670 0.5845 visual~~textual 0.4082 0.0670 100 0.2471 0.2551 0.2652 0.5420 0.5520 0.5573 visual~~speed 0.2622 0.0549 100 0.1207 0.1344 0.1602 0.3519 0.3735 0.3767 textual~~speed 0.1735 0.0529 100 0.0141 0.0292 0.0791 0.2862 0.3109 0.3248 Monte Carlo Confidence Intervals (Multiple Imputation Estimates) est se R 0.05% 0.5% 2.5% 97.5% 99.5% 99.95% visual=~x1 1.0000 0.0000 100 1.0000 1.0000 1.0000 1.0000 1.0000 1.0000 visual=~x2 0.5535 0.0999 100 0.3248 0.3415 0.3668 0.7553 0.7852 0.8017 visual=~x3 0.7294 0.1205 100 0.2966 0.3525 0.4955 0.9282 0.9882 1.0063 textual=~x4 1.0000 0.0000 100 1.0000 1.0000 1.0000 1.0000 1.0000 1.0000 textual=~x5 1.1131 0.0612 100 0.9639 0.9712 1.0070 1.2386 1.2687 1.2709 textual=~x6 0.9261 0.0546 100 0.8025 0.8031 0.8224 1.0364 1.0505 1.0571 speed=~x7 1.0000 0.0000 100 1.0000 1.0000 1.0000 1.0000 1.0000 1.0000 speed=~x8 1.1800 0.1652 100 0.8422 0.8683 0.9160 1.5366 1.6294 1.6624 speed=~x9 1.0815 0.1453 100 0.7915 0.8006 0.8261 1.3793 1.4608 1.5188 x1~~x1 0.5491 0.1289 100 0.1911 0.2041 0.2627 0.7366 0.8000 0.8399 x2~~x2 1.1338 0.1037 100 0.9032 0.9106 0.9263 1.3532 1.3902 1.4110 x3~~x3 0.8443 0.0873 100 0.6162 0.6501 0.7015 1.0196 1.0859 1.0958 x4~~x4 0.3712 0.0481 100 0.2414 0.2491 0.2596 0.4477 0.4777 0.5038 x5~~x5 0.4463 0.0598 100 0.2985 0.3146 0.3466 0.5775 0.6014 0.6066 x6~~x6 0.3562 0.0477 100 0.2341 0.2443 0.2650 0.4415 0.4496 0.4510 x7~~x7 0.7994 0.0812 100 0.6295 0.6339 0.6610 0.9371 1.0513 1.0687 x8~~x8 0.4877 0.0752 100 0.2858 0.3161 0.3559 0.6453 0.6672 0.6851 x9~~x9 0.5661 0.0658 100 0.3255 0.3653 0.4375 0.6868 0.7028 0.7127 visual~~visual 0.8093 0.1521 100 0.4177 0.4282 0.5488 1.1036 1.1778 1.1950 textual~~textual 0.9795 0.1136 100 0.6599 0.6755 0.7570 1.1676 1.2820 1.3065 speed~~speed 0.3837 0.0780 100 0.1291 0.1533 0.2312 0.5167 0.5298 0.5308 visual~~textual 0.4082 0.0699 100 0.2455 0.2585 0.2799 0.5352 0.6066 0.6162 visual~~speed 0.2622 0.0495 100 0.1408 0.1527 0.1709 0.3645 0.3755 0.3827 textual~~speed 0.1735 0.0511 100 0.0130 0.0351 0.0931 0.2725 0.2826 0.2859 Standardized Monte Carlo Confidence Intervals est se R 0.05% 0.5% 2.5% 97.5% 99.5% 99.95% visual=~x1 0.7719 0.0530 100 0.6055 0.6271 0.6593 0.8543 0.8962 0.8970 visual=~x2 0.4236 0.0621 100 0.2522 0.2683 0.3046 0.5506 0.5856 0.5863 visual=~x3 0.5811 0.0574 100 0.4186 0.4315 0.4482 0.6834 0.6892 0.6925 textual=~x4 0.8516 0.0229 100 0.8020 0.8027 0.8055 0.8859 0.9038 0.9111 textual=~x5 0.8551 0.0260 100 0.7684 0.7825 0.8024 0.8971 0.9047 0.9061 textual=~x6 0.8380 0.0241 100 0.7817 0.7819 0.7857 0.8768 0.8830 0.8841 speed=~x7 0.5695 0.0535 100 0.3640 0.4057 0.4691 0.6457 0.6567 0.6602 speed=~x8 0.7230 0.0510 100 0.5804 0.5867 0.6014 0.8028 0.8180 0.8191 speed=~x9 0.6650 0.0473 100 0.5344 0.5420 0.5636 0.7384 0.7748 0.7898 x1~~x1 0.4042 0.0805 100 0.1953 0.1968 0.2702 0.5654 0.6061 0.6333 x2~~x2 0.8206 0.0531 100 0.6562 0.6571 0.6968 0.9072 0.9277 0.9364 x3~~x3 0.6623 0.0651 100 0.5204 0.5250 0.5330 0.7991 0.8136 0.8248 x4~~x4 0.2748 0.0388 100 0.1699 0.1832 0.2152 0.3512 0.3557 0.3568 x5~~x5 0.2689 0.0441 100 0.1790 0.1814 0.1952 0.3562 0.3874 0.4096 x6~~x6 0.2977 0.0402 100 0.2184 0.2203 0.2312 0.3827 0.3887 0.3890 x7~~x7 0.6757 0.0589 100 0.5642 0.5688 0.5831 0.7800 0.8332 0.8671 x8~~x8 0.4772 0.0721 100 0.3291 0.3309 0.3555 0.6383 0.6558 0.6631 x9~~x9 0.5578 0.0620 100 0.3762 0.3994 0.4548 0.6823 0.7061 0.7144 visual~~visual 1.0000 0.0000 100 1.0000 1.0000 1.0000 1.0000 1.0000 1.0000 textual~~textual 1.0000 0.0000 100 1.0000 1.0000 1.0000 1.0000 1.0000 1.0000 speed~~speed 1.0000 0.0000 100 1.0000 1.0000 1.0000 1.0000 1.0000 1.0000 visual~~textual 0.4585 0.0629 100 0.3020 0.3025 0.3487 0.5741 0.6170 0.6270 visual~~speed 0.4705 0.0751 100 0.3098 0.3210 0.3378 0.6284 0.6732 0.6865 textual~~speed 0.2830 0.0716 100 0.0293 0.0595 0.1532 0.4308 0.4392 0.4409 Standardized Monte Carlo Confidence Intervals est se R 0.05% 0.5% 2.5% 97.5% 99.5% 99.95% visual=~x1 0.7719 0.0625 100 0.6063 0.6122 0.6410 0.8920 0.9232 0.9285 visual=~x2 0.4236 0.0569 100 0.2721 0.2818 0.3170 0.5393 0.5497 0.5499 visual=~x3 0.5811 0.0620 100 0.3053 0.3464 0.4354 0.6501 0.6601 0.6621 textual=~x4 0.8516 0.0229 100 0.7781 0.7806 0.8067 0.8959 0.9016 0.9035 textual=~x5 0.8551 0.0224 100 0.7886 0.7911 0.8021 0.8909 0.8964 0.8993 textual=~x6 0.8380 0.0234 100 0.7747 0.7769 0.7991 0.8849 0.8897 0.8908 speed=~x7 0.5695 0.0538 100 0.3494 0.3902 0.4505 0.6494 0.6616 0.6671 speed=~x8 0.7230 0.0522 100 0.5911 0.5946 0.6108 0.8164 0.8212 0.8252 speed=~x9 0.6650 0.0519 100 0.5233 0.5443 0.5808 0.7586 0.7958 0.8151 x1~~x1 0.4042 0.0962 100 0.1379 0.1477 0.2042 0.5889 0.6252 0.6324 x2~~x2 0.8206 0.0484 100 0.6976 0.6979 0.7092 0.8995 0.9205 0.9260 x3~~x3 0.6623 0.0662 100 0.5617 0.5642 0.5774 0.8098 0.8779 0.9064 x4~~x4 0.2748 0.0389 100 0.1838 0.1872 0.1973 0.3492 0.3906 0.3946 x5~~x5 0.2689 0.0380 100 0.1912 0.1965 0.2063 0.3567 0.3742 0.3780 x6~~x6 0.2977 0.0392 100 0.2065 0.2084 0.2170 0.3615 0.3964 0.3999 x7~~x7 0.6757 0.0582 100 0.5550 0.5623 0.5783 0.7970 0.8456 0.8775 x8~~x8 0.4772 0.0745 100 0.3191 0.3256 0.3334 0.6270 0.6465 0.6506 x9~~x9 0.5578 0.0693 100 0.3355 0.3662 0.4245 0.6627 0.7032 0.7260 visual~~visual 1.0000 0.0000 100 1.0000 1.0000 1.0000 1.0000 1.0000 1.0000 textual~~textual 1.0000 0.0000 100 1.0000 1.0000 1.0000 1.0000 1.0000 1.0000 speed~~speed 1.0000 0.0000 100 1.0000 1.0000 1.0000 1.0000 1.0000 1.0000 visual~~textual 0.4585 0.0594 100 0.3197 0.3392 0.3751 0.5715 0.5958 0.6133 visual~~speed 0.4705 0.0739 100 0.3117 0.3330 0.3595 0.6394 0.6637 0.6651 textual~~speed 0.2830 0.0776 100 0.0268 0.0838 0.1613 0.4190 0.4634 0.4642 Monte Carlo Confidence Intervals Monte Carlo Confidence Intervals (Multiple Imputation Estimates) Standardized Monte Carlo Confidence Intervals Standardized Monte Carlo Confidence Intervals lavaan 0.6.17 ended normally after 18 iterations Estimator ML Optimization method NLMINB Number of model parameters 8 Number of observations 50 Model Test User Model: Test statistic 0.000 Degrees of freedom 2 P-value (Chi-square) 1.000 Parameter Estimates: Standard errors Standard Information Expected Information saturated (h1) model Structured Latent Variables: Estimate Std.Err z-value P(>|z|) eta1 =~ y1 1.000 y2 0.991 0.152 6.524 0.000 y3 0.901 0.138 6.537 0.000 y4 1.399 0.143 9.814 0.000 Variances: Estimate Std.Err z-value P(>|z|) .y1 0.000 0.055 0.000 1.000 .y2 0.980 0.203 4.822 0.000 .y3 0.807 0.167 4.820 0.000 .y4 0.696 0.176 3.960 0.000 eta1 0.980 0.204 4.815 0.000 Standardized Monte Carlo Confidence Intervals est se R 0.05% 0.5% 2.5% 97.5% 99.5% 99.95% eta1=~y1 1.0000 NA 0 NA NA NA NA NA NA eta1=~y2 0.7039 NA 0 NA NA NA NA NA NA eta1=~y3 0.7047 NA 0 NA NA NA NA NA NA eta1=~y4 0.8566 NA 0 NA NA NA NA NA NA y1~~y1 0.0000 NA 0 NA NA NA NA NA NA y2~~y2 0.5045 NA 0 NA NA NA NA NA NA y3~~y3 0.5034 NA 0 NA NA NA NA NA NA y4~~y4 0.2662 NA 0 NA NA NA NA NA NA eta1~~eta1 1.0000 NA 0 NA NA NA NA NA NA [ FAIL 0 | WARN 0 | SKIP 0 | PASS 100 ] > > proc.time() user system elapsed 30.32 0.70 31.01