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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 0.1036 100 0.3418 0.3533 0.3845 0.7796 0.8127 0.8183 visual=~x3 0.7294 0.0987 100 0.4836 0.5000 0.5714 0.9204 1.0086 1.0390 textual=~x4 1.0000 0.0000 100 1.0000 1.0000 1.0000 1.0000 1.0000 1.0000 textual=~x5 1.1131 0.0620 100 0.9657 0.9758 1.0080 1.2365 1.2539 1.2605 textual=~x6 0.9261 0.0655 100 0.7663 0.7852 0.8125 1.0503 1.0716 1.0857 speed=~x7 1.0000 0.0000 100 1.0000 1.0000 1.0000 1.0000 1.0000 1.0000 speed=~x8 1.1800 0.1601 100 0.8470 0.8656 0.8956 1.4960 1.5895 1.6258 speed=~x9 1.0815 0.1387 100 0.7853 0.7935 0.8489 1.3869 1.4657 1.4663 x1~~x1 0.5491 0.1125 100 0.2896 0.2916 0.3138 0.7832 0.8321 0.8562 x2~~x2 1.1338 0.1072 100 0.8058 0.8378 0.9174 1.3391 1.3532 1.3544 x3~~x3 0.8443 0.0915 100 0.6433 0.6455 0.7130 1.0390 1.0553 1.0628 x4~~x4 0.3712 0.0438 100 0.2489 0.2696 0.3057 0.4627 0.4808 0.4873 x5~~x5 0.4463 0.0610 100 0.2815 0.2960 0.3321 0.5438 0.5877 0.6148 x6~~x6 0.3562 0.0461 100 0.2124 0.2359 0.2735 0.4372 0.4537 0.4577 x7~~x7 0.7994 0.0741 100 0.5980 0.6131 0.6496 0.9383 0.9668 0.9833 x8~~x8 0.4877 0.0642 100 0.3162 0.3183 0.3875 0.5923 0.6011 0.6046 x9~~x9 0.5661 0.0740 100 0.3701 0.3925 0.4323 0.6962 0.7368 0.7530 visual~~visual 0.8093 0.1221 100 0.5389 0.5468 0.5894 1.0567 1.0970 1.1007 textual~~textual 0.9795 0.1183 100 0.6459 0.6867 0.7588 1.2367 1.3092 1.3320 speed~~speed 0.3837 0.0757 100 0.2159 0.2306 0.2553 0.5354 0.5469 0.5481 visual~~textual 0.4082 0.0659 100 0.2804 0.2818 0.2966 0.5357 0.5647 0.5834 visual~~speed 0.2622 0.0552 100 0.1558 0.1603 0.1682 0.3656 0.3961 0.4067 textual~~speed 0.1735 0.0452 100 0.0451 0.0585 0.0789 0.2459 0.2706 0.2712 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 0.1013 100 0.2929 0.3012 0.3457 0.7214 0.7875 0.7947 visual=~x3 0.7294 0.1251 100 0.4743 0.4891 0.5147 0.9854 1.0441 1.0714 textual=~x4 1.0000 0.0000 100 1.0000 1.0000 1.0000 1.0000 1.0000 1.0000 textual=~x5 1.1131 0.0690 100 0.9516 0.9563 0.9968 1.2322 1.2836 1.3094 textual=~x6 0.9261 0.0576 100 0.7462 0.7610 0.8021 1.0276 1.0376 1.0413 speed=~x7 1.0000 0.0000 100 1.0000 1.0000 1.0000 1.0000 1.0000 1.0000 speed=~x8 1.1800 0.1798 100 0.8638 0.8690 0.9087 1.5919 1.6560 1.6719 speed=~x9 1.0815 0.1359 100 0.7263 0.7627 0.8753 1.3925 1.4048 1.4062 x1~~x1 0.5491 0.1216 100 0.2583 0.2762 0.3179 0.7481 0.8782 0.9157 x2~~x2 1.1338 0.0843 100 0.9288 0.9446 0.9819 1.2975 1.3407 1.3441 x3~~x3 0.8443 0.0980 100 0.6157 0.6440 0.6822 1.0332 1.0565 1.0692 x4~~x4 0.3712 0.0530 100 0.2496 0.2543 0.2638 0.4600 0.4771 0.4863 x5~~x5 0.4463 0.0535 100 0.3035 0.3216 0.3520 0.5494 0.5722 0.5908 x6~~x6 0.3562 0.0394 100 0.2525 0.2603 0.2799 0.4199 0.4342 0.4377 x7~~x7 0.7994 0.0836 100 0.5567 0.5970 0.6445 0.9904 1.0155 1.0292 x8~~x8 0.4877 0.0751 100 0.2962 0.2970 0.3122 0.5974 0.6348 0.6426 x9~~x9 0.5661 0.0661 100 0.4379 0.4447 0.4581 0.7067 0.7340 0.7481 visual~~visual 0.8093 0.1479 100 0.4572 0.4612 0.5331 1.1093 1.1634 1.1924 textual~~textual 0.9795 0.1138 100 0.7324 0.7378 0.7840 1.1880 1.2695 1.2771 speed~~speed 0.3837 0.0883 100 0.1447 0.1518 0.1780 0.5232 0.5505 0.5568 visual~~textual 0.4082 0.0661 100 0.2302 0.2402 0.2792 0.5302 0.5550 0.5685 visual~~speed 0.2622 0.0513 100 0.0816 0.1138 0.1572 0.3425 0.3628 0.3676 textual~~speed 0.1735 0.0495 100 0.0599 0.0644 0.0907 0.2625 0.2841 0.2956 Standardized Monte Carlo Confidence Intervals est se R 0.05% 0.5% 2.5% 97.5% 99.5% 99.95% visual=~x1 0.7719 0.0502 100 0.6422 0.6465 0.6648 0.8676 0.8710 0.8723 visual=~x2 0.4236 0.0607 100 0.2919 0.2948 0.3084 0.5415 0.5614 0.5617 visual=~x3 0.5811 0.0556 100 0.4159 0.4262 0.4631 0.6714 0.6994 0.7231 textual=~x4 0.8516 0.0241 100 0.7601 0.7748 0.8061 0.8900 0.9063 0.9140 textual=~x5 0.8551 0.0218 100 0.7984 0.8038 0.8140 0.8941 0.9010 0.9056 textual=~x6 0.8380 0.0244 100 0.7695 0.7794 0.7927 0.8868 0.9041 0.9120 speed=~x7 0.5695 0.0442 100 0.4550 0.4591 0.4816 0.6336 0.6673 0.6711 speed=~x8 0.7230 0.0458 100 0.6192 0.6215 0.6372 0.7963 0.8133 0.8194 speed=~x9 0.6650 0.0530 100 0.5102 0.5263 0.5629 0.7421 0.7885 0.7997 x1~~x1 0.4042 0.0772 100 0.2390 0.2414 0.2472 0.5579 0.5820 0.5876 x2~~x2 0.8206 0.0519 100 0.6845 0.6848 0.7067 0.9049 0.9131 0.9148 x3~~x3 0.6623 0.0635 100 0.4770 0.5102 0.5492 0.7853 0.8182 0.8270 x4~~x4 0.2748 0.0407 100 0.1646 0.1785 0.2079 0.3503 0.3993 0.4222 x5~~x5 0.2689 0.0372 100 0.1799 0.1882 0.2006 0.3374 0.3539 0.3625 x6~~x6 0.2977 0.0411 100 0.1682 0.1825 0.2136 0.3716 0.3925 0.4078 x7~~x7 0.6757 0.0499 100 0.5496 0.5547 0.5986 0.7680 0.7892 0.7929 x8~~x8 0.4772 0.0656 100 0.3286 0.3385 0.3658 0.5940 0.6138 0.6166 x9~~x9 0.5578 0.0697 100 0.3604 0.3780 0.4493 0.6831 0.7226 0.7397 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 0.0602 100 0.3295 0.3362 0.3643 0.5951 0.6157 0.6241 visual~~speed 0.4705 0.0835 100 0.2597 0.2714 0.3192 0.6581 0.6803 0.6937 textual~~speed 0.2830 0.0702 100 0.0860 0.1078 0.1381 0.4032 0.4172 0.4276 Standardized Monte Carlo Confidence Intervals est se R 0.05% 0.5% 2.5% 97.5% 99.5% 99.95% visual=~x1 0.7719 0.0583 100 0.5797 0.6129 0.6588 0.8746 0.8831 0.8849 visual=~x2 0.4236 0.0617 100 0.2363 0.2464 0.2785 0.5307 0.5578 0.5655 visual=~x3 0.5811 0.0603 100 0.4110 0.4322 0.4627 0.7021 0.7116 0.7123 textual=~x4 0.8516 0.0242 100 0.7947 0.7963 0.8029 0.8957 0.9020 0.9032 textual=~x5 0.8551 0.0210 100 0.8088 0.8100 0.8174 0.8943 0.8980 0.8998 textual=~x6 0.8380 0.0211 100 0.7895 0.7900 0.7932 0.8787 0.8859 0.8911 speed=~x7 0.5695 0.0596 100 0.3881 0.3949 0.4233 0.6502 0.6731 0.6851 speed=~x8 0.7230 0.0516 100 0.6050 0.6154 0.6298 0.8119 0.8278 0.8316 speed=~x9 0.6650 0.0479 100 0.5416 0.5416 0.5530 0.7341 0.7541 0.7577 x1~~x1 0.4042 0.0890 100 0.2170 0.2201 0.2351 0.5660 0.6230 0.6637 x2~~x2 0.8206 0.0500 100 0.6802 0.6888 0.7184 0.9221 0.9391 0.9441 x3~~x3 0.6623 0.0693 100 0.4927 0.4936 0.5070 0.7859 0.8127 0.8310 x4~~x4 0.2748 0.0413 100 0.1843 0.1865 0.1978 0.3553 0.3659 0.3685 x5~~x5 0.2689 0.0359 100 0.1904 0.1936 0.2002 0.3318 0.3439 0.3458 x6~~x6 0.2977 0.0354 100 0.2060 0.2152 0.2278 0.3708 0.3759 0.3767 x7~~x7 0.6757 0.0644 100 0.5306 0.5467 0.5772 0.8208 0.8440 0.8494 x8~~x8 0.4772 0.0744 100 0.3084 0.3147 0.3408 0.6033 0.6212 0.6340 x9~~x9 0.5578 0.0620 100 0.4259 0.4313 0.4611 0.6941 0.7066 0.7067 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 0.0661 100 0.3137 0.3137 0.3257 0.5987 0.6211 0.6238 visual~~speed 0.4705 0.0937 100 0.1905 0.2526 0.3261 0.6927 0.7568 0.7891 textual~~speed 0.2830 0.0766 100 0.1059 0.1155 0.1387 0.4079 0.4422 0.4632 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 86 ] > > proc.time() user system elapsed 24.71 0.71 25.43