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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 0.1126 100 0.2982 0.3196 0.3716 0.8101 0.9477 0.9804 visual=~x3 0.7294 0.1081 100 0.4461 0.4651 0.5254 0.9503 1.0242 1.0357 textual=~x4 1.0000 0.0000 100 1.0000 1.0000 1.0000 1.0000 1.0000 1.0000 textual=~x5 1.1131 0.0725 100 0.9672 0.9710 0.9801 1.2420 1.2736 1.2786 textual=~x6 0.9261 0.0548 100 0.7943 0.8032 0.8147 1.0278 1.0536 1.0627 speed=~x7 1.0000 0.0000 100 1.0000 1.0000 1.0000 1.0000 1.0000 1.0000 speed=~x8 1.1800 0.1351 100 0.8644 0.8675 0.8964 1.4193 1.4479 1.4623 speed=~x9 1.0815 0.1588 100 0.6076 0.6274 0.7818 1.3593 1.4351 1.4427 x1~~x1 0.5491 0.1202 100 0.2133 0.2686 0.3583 0.7913 0.8186 0.8383 x2~~x2 1.1338 0.1080 100 0.9046 0.9148 0.9311 1.3370 1.3807 1.4067 x3~~x3 0.8443 0.1017 100 0.5986 0.6166 0.6513 1.0088 1.1266 1.1730 x4~~x4 0.3712 0.0476 100 0.2658 0.2693 0.2810 0.4765 0.4901 0.4904 x5~~x5 0.4463 0.0545 100 0.3083 0.3310 0.3623 0.5536 0.6174 0.6199 x6~~x6 0.3562 0.0415 100 0.2492 0.2551 0.2700 0.4198 0.4578 0.4764 x7~~x7 0.7994 0.0774 100 0.6312 0.6362 0.6539 0.9639 0.9834 0.9905 x8~~x8 0.4877 0.0780 100 0.3004 0.3021 0.3342 0.6429 0.6552 0.6555 x9~~x9 0.5661 0.0816 100 0.3439 0.3524 0.4182 0.7235 0.8017 0.8221 visual~~visual 0.8093 0.1375 100 0.4945 0.4980 0.5406 1.0670 1.0939 1.0953 textual~~textual 0.9795 0.1164 100 0.6833 0.7201 0.7959 1.2006 1.2212 1.2284 speed~~speed 0.3837 0.0839 100 0.1876 0.1976 0.2161 0.5384 0.6311 0.6450 visual~~textual 0.4082 0.0727 100 0.2241 0.2358 0.2845 0.5474 0.5953 0.6031 visual~~speed 0.2622 0.0535 100 0.1285 0.1404 0.1626 0.3637 0.3755 0.3769 textual~~speed 0.1735 0.0476 100 0.0683 0.0760 0.0900 0.2640 0.2902 0.3104 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 0.0953 100 0.2553 0.2638 0.3662 0.7100 0.7493 0.7662 visual=~x3 0.7294 0.1237 100 0.4862 0.4890 0.5189 0.9859 1.0279 1.0340 textual=~x4 1.0000 0.0000 100 1.0000 1.0000 1.0000 1.0000 1.0000 1.0000 textual=~x5 1.1131 0.0654 100 0.9413 0.9430 0.9699 1.2338 1.2920 1.3235 textual=~x6 0.9261 0.0577 100 0.7545 0.7691 0.8162 1.0217 1.0866 1.1096 speed=~x7 1.0000 0.0000 100 1.0000 1.0000 1.0000 1.0000 1.0000 1.0000 speed=~x8 1.1800 0.1608 100 0.7872 0.7895 0.8636 1.4805 1.6022 1.6362 speed=~x9 1.0815 0.1430 100 0.7120 0.7452 0.8644 1.3511 1.4540 1.4573 x1~~x1 0.5491 0.1218 100 0.2768 0.3009 0.3400 0.7829 0.8457 0.8762 x2~~x2 1.1338 0.1013 100 0.8872 0.9077 0.9454 1.3420 1.3565 1.3591 x3~~x3 0.8443 0.0969 100 0.6343 0.6367 0.6481 1.0289 1.0466 1.0477 x4~~x4 0.3712 0.0516 100 0.2585 0.2629 0.2723 0.4669 0.4887 0.4957 x5~~x5 0.4463 0.0483 100 0.3171 0.3211 0.3582 0.5370 0.5445 0.5452 x6~~x6 0.3562 0.0425 100 0.2746 0.2780 0.2902 0.4343 0.4679 0.4896 x7~~x7 0.7994 0.0915 100 0.5522 0.5698 0.6013 0.9755 1.0391 1.0396 x8~~x8 0.4877 0.0725 100 0.3207 0.3354 0.3569 0.6506 0.6678 0.6741 x9~~x9 0.5661 0.0657 100 0.4113 0.4190 0.4339 0.6919 0.7401 0.7485 visual~~visual 0.8093 0.1551 100 0.4061 0.4226 0.4999 1.0732 1.1175 1.1525 textual~~textual 0.9795 0.0997 100 0.7697 0.7789 0.7973 1.1931 1.2100 1.2101 speed~~speed 0.3837 0.0857 100 0.1615 0.1621 0.2111 0.5308 0.5888 0.6067 visual~~textual 0.4082 0.0785 100 0.2493 0.2503 0.2645 0.5720 0.6339 0.6354 visual~~speed 0.2622 0.0578 100 0.1459 0.1466 0.1529 0.3713 0.4208 0.4370 textual~~speed 0.1735 0.0493 100 0.0393 0.0468 0.0644 0.2794 0.3126 0.3165 Standardized Monte Carlo Confidence Intervals est se R 0.05% 0.5% 2.5% 97.5% 99.5% 99.95% visual=~x1 0.7719 0.0577 100 0.6177 0.6182 0.6472 0.8636 0.8877 0.9064 visual=~x2 0.4236 0.0616 100 0.2634 0.2741 0.2941 0.5530 0.5807 0.5808 visual=~x3 0.5811 0.0572 100 0.4155 0.4264 0.4512 0.6862 0.7018 0.7110 textual=~x4 0.8516 0.0220 100 0.7961 0.8018 0.8114 0.8942 0.9023 0.9033 textual=~x5 0.8551 0.0205 100 0.8004 0.8005 0.8026 0.8887 0.8919 0.8929 textual=~x6 0.8380 0.0219 100 0.7700 0.7779 0.7915 0.8783 0.8816 0.8818 speed=~x7 0.5695 0.0519 100 0.4305 0.4349 0.4530 0.6483 0.6734 0.6879 speed=~x8 0.7230 0.0530 100 0.5684 0.5892 0.6149 0.8147 0.8230 0.8247 speed=~x9 0.6650 0.0628 100 0.5005 0.5043 0.5092 0.7490 0.7853 0.7890 x1~~x1 0.4042 0.0876 100 0.1783 0.2115 0.2542 0.5811 0.6178 0.6185 x2~~x2 0.8206 0.0525 100 0.6627 0.6628 0.6941 0.9135 0.9247 0.9306 x3~~x3 0.6623 0.0652 100 0.4945 0.5074 0.5291 0.7963 0.8180 0.8273 x4~~x4 0.2748 0.0374 100 0.1841 0.1858 0.2004 0.3416 0.3570 0.3662 x5~~x5 0.2689 0.0348 100 0.2027 0.2045 0.2103 0.3558 0.3592 0.3594 x6~~x6 0.2977 0.0364 100 0.2225 0.2228 0.2286 0.3736 0.3947 0.4071 x7~~x7 0.6757 0.0580 100 0.5267 0.5463 0.5797 0.7947 0.8108 0.8147 x8~~x8 0.4772 0.0759 100 0.3199 0.3227 0.3362 0.6219 0.6523 0.6768 x9~~x9 0.5578 0.0809 100 0.3775 0.3833 0.4390 0.7407 0.7457 0.7495 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 0.0678 100 0.2910 0.3081 0.3310 0.5811 0.6148 0.6326 visual~~speed 0.4705 0.0745 100 0.3058 0.3154 0.3303 0.6171 0.6930 0.7399 textual~~speed 0.2830 0.0717 100 0.1280 0.1326 0.1491 0.4378 0.4747 0.4825 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 0.5854 0.6013 0.6278 0.8622 0.8823 0.8826 visual=~x2 0.4236 0.0585 100 0.2293 0.2381 0.2973 0.5158 0.5341 0.5343 visual=~x3 0.5811 0.0643 100 0.4171 0.4293 0.4480 0.6723 0.6887 0.6979 textual=~x4 0.8516 0.0208 100 0.8071 0.8085 0.8130 0.8900 0.8947 0.8966 textual=~x5 0.8551 0.0205 100 0.8036 0.8081 0.8163 0.8952 0.9011 0.9014 textual=~x6 0.8380 0.0235 100 0.7848 0.7859 0.7893 0.8789 0.8859 0.8898 speed=~x7 0.5695 0.0588 100 0.3693 0.3822 0.4484 0.6703 0.6864 0.6929 speed=~x8 0.7230 0.0488 100 0.5853 0.5932 0.6121 0.7937 0.8214 0.8379 speed=~x9 0.6650 0.0494 100 0.5539 0.5542 0.5789 0.7711 0.7834 0.7855 x1~~x1 0.4042 0.0931 100 0.2211 0.2215 0.2567 0.6059 0.6381 0.6572 x2~~x2 0.8206 0.0472 100 0.7145 0.7147 0.7339 0.9116 0.9432 0.9474 x3~~x3 0.6623 0.0724 100 0.5129 0.5256 0.5480 0.7993 0.8155 0.8260 x4~~x4 0.2748 0.0354 100 0.1962 0.1996 0.2080 0.3390 0.3463 0.3485 x5~~x5 0.2689 0.0351 100 0.1874 0.1881 0.1986 0.3337 0.3469 0.3542 x6~~x6 0.2977 0.0392 100 0.2082 0.2152 0.2275 0.3770 0.3824 0.3841 x7~~x7 0.6757 0.0646 100 0.5199 0.5288 0.5507 0.7989 0.8537 0.8636 x8~~x8 0.4772 0.0691 100 0.2979 0.3249 0.3700 0.6252 0.6481 0.6574 x9~~x9 0.5578 0.0661 100 0.3830 0.3863 0.4053 0.6649 0.6929 0.6931 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 0.0691 100 0.3092 0.3098 0.3271 0.5978 0.6465 0.6766 visual~~speed 0.4705 0.0833 100 0.2654 0.2876 0.3358 0.6151 0.6880 0.7187 textual~~speed 0.2830 0.0700 100 0.0632 0.0865 0.1410 0.4129 0.4235 0.4238 Monte Carlo Confidence Intervals Monte Carlo Confidence Intervals (Multiple Imputation Estimates) Standardized Monte Carlo Confidence Intervals Standardized Monte Carlo Confidence Intervals lavaan 0.6.16 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 80 ] > > proc.time() user system elapsed 30.50 0.75 31.23