Mediator-pass through with normal errors
Examples
m <- model_mediator_informative(n = 100, k = 5)
o <- model_outcome_normal(m)
o
#> $y
#> [1] -3.80333495 -3.03091287 -3.04495951 -4.24957172 -2.04853177 -3.35809816
#> [7] -2.48042668 -1.36520971 -1.61800905 -2.73970258 -3.33758369 -3.43808021
#> [13] -2.29923751 -2.90481267 -1.54799494 -1.41901400 -0.75132410 -1.17102765
#> [19] -1.59747404 -1.95383180 -0.55577688 -1.50143175 0.43530108 0.82993617
#> [25] -1.38887095 1.05348759 0.20075418 -1.40329037 0.17717348 -1.34877644
#> [31] 0.76234786 0.68485679 1.75064002 0.10336351 0.91736603 1.04548996
#> [37] 0.55960950 -0.25568138 0.66271417 0.63611774 0.33262023 0.45205869
#> [43] -0.83028958 1.07835929 0.12957374 -0.11477770 0.68321899 -0.27718608
#> [49] -1.79339735 -1.64527698 -2.56379556 1.86084254 -1.81054247 -0.45805813
#> [55] -2.49126765 -1.15649620 2.07972603 -1.09468514 -1.08556021 -0.45963380
#> [61] -2.16477811 -0.84350571 -1.33971623 -0.09864137 3.05206644 2.88174472
#> [67] 3.52064377 0.18711982 0.11141616 -0.78198648 -1.58667404 -0.41555966
#> [73] -0.80686255 0.15742524 -0.83216979 -0.57957689 -0.30192680 -0.90919870
#> [79] 1.23317536 0.95332635 -0.02134625 2.39208839 0.97604931 3.08821432
#> [85] 4.96995863 5.55821097 5.20234450 4.71670031 3.56299424 3.66251291
#> [91] 5.82961729 3.30417304 3.90468995 3.05266947 4.04766098 2.61324789
#> [97] 2.91139546 2.52546382 2.87606307 2.45042280
#>
#> $beta_w
#> C1 C2 C3 C4 C5
#> 0.7452323 0.7537690 0.7148711 1.2711129 0.7753766
#>
#> $beta_x
#> US1 US2 US3 US4 US5
#> 1.5446659 0.4522614 0.2113007 0.9657008 0.7248244
#>
#> $mediator
#> $n
#> [1] 100
#>
#> $k
#> [1] 5
#>
#> $X
#> US1 US2 US3 US4 US5
#> [1,] -3.76403831 0.2930287 -0.025060995 -0.08434292 0.06978469
#> [2,] -3.59904942 0.2801844 -0.023962497 -0.08064592 0.06672582
#> [3,] -3.58451412 0.2790528 -0.023865721 -0.08032022 0.06645634
#> [4,] -3.54447792 0.2759360 -0.023599160 -0.07942310 0.06571408
#> [5,] -3.46507199 0.2697543 -0.023070475 -0.07764381 0.06424190
#> [6,] -3.36738614 0.2621495 -0.022420081 -0.07545491 0.06243082
#> [7,] -3.29720882 0.2566862 -0.021952840 -0.07388241 0.06112975
#> [8,] -3.12367458 0.2431767 -0.020797448 -0.06999393 0.05791245
#> [9,] -3.04077492 0.2367230 -0.020245502 -0.06813635 0.05637550
#> [10,] -2.76624405 0.2153508 -0.018417673 -0.06198478 0.05128574
#> [11,] -2.69555899 0.2098480 -0.017947051 -0.06040090 0.04997525
#> [12,] -2.49555606 0.1942779 -0.016615430 -0.05591932 0.04626723
#> [13,] -2.47521895 0.1926947 -0.016480026 -0.05546362 0.04589018
#> [14,] -2.19403421 0.1708046 -0.014607896 -0.04916295 0.04067706
#> [15,] -2.16732808 0.1687255 -0.014430086 -0.04856453 0.04018193
#> [16,] -2.14896672 0.1672961 -0.014307836 -0.04815310 0.03984151
#> [17,] -2.14308638 0.1668383 -0.014268685 -0.04802134 0.03973249
#> [18,] -2.07194121 0.1612997 -0.013795000 -0.04642715 0.03841347
#> [19,] -1.94697962 0.1515715 -0.012963005 -0.04362706 0.03609670
#> [20,] -1.89938232 0.1478661 -0.012646101 -0.04256052 0.03521426
#> [21,] -1.55879666 0.1213516 -0.010378480 -0.03492883 0.02889985
#> [22,] -1.54112224 0.1199757 -0.010260803 -0.03453279 0.02857217
#> [23,] -1.35146965 0.1052113 -0.008998095 -0.03028314 0.02505604
#> [24,] -0.20684377 -2.1308687 2.619744072 -0.68866619 0.24096139
#> [25,] -0.19604249 -2.0195958 2.482942322 -0.65270438 0.22837851
#> [26,] -0.17321865 -1.7844686 2.193870907 -0.57671462 0.20179001
#> [27,] -0.17255227 -1.7776037 2.185431009 -0.57449598 0.20101372
#> [28,] -0.16944473 -1.7455903 2.146072988 -0.56414973 0.19739361
#> [29,] -0.15538915 -1.6007922 1.968054481 -0.51735305 0.18101965
#> [30,] -0.15471648 -1.5938625 1.959534928 -0.51511347 0.18023603
#> [31,] -0.15388014 -1.5852466 1.948942363 -0.51232894 0.17926173
#> [32,] -0.15270923 -1.5731841 1.934112480 -0.50843053 0.17789770
#> [33,] -0.15207250 -1.5666246 1.926048046 -0.50631059 0.17715594
#> [34,] -0.14854921 -1.5303283 1.881424390 -0.49458013 0.17305150
#> [35,] -0.13712440 -1.4126319 1.736725426 -0.45654234 0.15974224
#> [36,] -0.13513886 -1.3921772 1.711577987 -0.44993170 0.15742920
#> [37,] -0.12800544 -1.3186899 1.621230849 -0.42618166 0.14911916
#> [38,] -0.11607170 -1.1957506 1.470086103 -0.38644943 0.13521702
#> [39,] -0.11551789 -1.1900454 1.463071970 -0.38460558 0.13457187
#> [40,] -0.11401169 -1.1745287 1.443995395 -0.37959082 0.13281723
#> [41,] -0.10462312 -1.0778093 1.325086065 -0.34833249 0.12188007
#> [42,] -0.09520580 -0.9807937 1.205812703 -0.31697846 0.11090942
#> [43,] -0.09356566 -0.9638972 1.185039672 -0.31151774 0.10899874
#> [44,] -0.09165711 -0.9442357 1.160867321 -0.30516343 0.10677539
#> [45,] -0.09069334 -0.9343071 1.148660855 -0.30195465 0.10565266
#> [46,] -0.08945937 -0.9215950 1.133032205 -0.29784626 0.10421515
#> [47,] -0.08534590 -0.8792187 1.080933803 -0.28415087 0.09942319
#> [48,] -0.08206614 -0.8454312 1.039394607 -0.27323124 0.09560246
#> [49,] -0.21482353 -2.6161337 -2.268696757 -0.61103045 0.23356851
#> [50,] -0.21434994 -2.6103663 -2.263695311 -0.60968340 0.23305359
#> [51,] -0.20566621 -2.5046153 -2.171988638 -0.58498395 0.22361214
#> [52,] -0.20472506 -2.4931540 -2.162049400 -0.58230701 0.22258887
#> [53,] -0.18323454 -2.2314412 -1.935093503 -0.52118074 0.19922314
#> [54,] -0.18288741 -2.2272137 -1.931427480 -0.52019337 0.19884572
#> [55,] -0.17861918 -2.1752350 -1.886351785 -0.50805308 0.19420505
#> [56,] -0.16926198 -2.0612824 -1.787532772 -0.48143805 0.18403136
#> [57,] -0.16873067 -2.0548122 -1.781921826 -0.47992685 0.18345370
#> [58,] -0.15533493 -1.8916780 -1.640452749 -0.44182484 0.16888908
#> [59,] -0.14941206 -1.8195489 -1.577902836 -0.42497821 0.16244939
#> [60,] -0.14434508 -1.7578430 -1.524391804 -0.41056602 0.15694029
#> [61,] -0.14253972 -1.7358571 -1.505325756 -0.40543095 0.15497738
#> [62,] -0.12356622 -1.5047968 -1.304951517 -0.35146394 0.13434831
#> [63,] -0.12073734 -1.4703465 -1.275076436 -0.34341766 0.13127259
#> [64,] -0.11640177 -1.4175476 -1.229289523 -0.33108582 0.12655870
#> [65,] -0.10881206 -1.3251197 -1.149136543 -0.30949814 0.11830673
#> [66,] -0.09588611 -1.1677068 -1.012628884 -0.27273239 0.10425290
#> [67,] -0.07901605 -0.9622622 -0.834468498 -0.22474827 0.08591080
#> [68,] -0.16402427 -0.5170510 0.062242616 0.36153222 -3.68470240
#> [69,] -0.16289541 -0.5134925 0.061814245 0.35904406 -3.65934323
#> [70,] -0.15733522 -0.4959653 0.059704310 0.34678864 -3.53443715
#> [71,] -0.14863055 -0.4685257 0.056401131 0.32760233 -3.33889215
#> [72,] -0.12786162 -0.4030561 0.048519903 0.28182473 -2.87233108
#> [73,] -0.11959171 -0.3769870 0.045381703 0.26359670 -2.68655274
#> [74,] -0.11858053 -0.3737995 0.044997991 0.26136793 -2.66383732
#> [75,] -0.11523489 -0.3632531 0.043728412 0.25399366 -2.58867947
#> [76,] -0.11371331 -0.3584566 0.043151015 0.25063989 -2.55449813
#> [77,] -0.10885909 -0.3431547 0.041308974 0.23994051 -2.44545113
#> [78,] -0.09824729 -0.3097033 0.037282096 0.21655065 -2.20706385
#> [79,] -0.08706093 -0.2744408 0.033037185 0.19189436 -1.95576925
#> [80,] -0.08157273 -0.2571404 0.030954567 0.17979760 -1.83248026
#> [81,] -0.08019508 -0.2527977 0.030431788 0.17676108 -1.80153225
#> [82,] -0.06027731 -0.1900112 0.022873550 0.13285954 -1.35409193
#> [83,] -0.05976367 -0.1883920 0.022678638 0.13172740 -1.34255330
#> [84,] -0.05674070 -0.1788628 0.021531505 0.12506436 -1.27464418
#> [85,] -0.19561565 -0.9745131 0.152518240 3.57710790 0.45148500
#> [86,] -0.19263577 -0.9596680 0.150194877 3.52261660 0.44460737
#> [87,] -0.17606123 -0.8770973 0.137271983 3.21952768 0.40635298
#> [88,] -0.16991854 -0.8464959 0.132482636 3.10720006 0.39217554
#> [89,] -0.16768581 -0.8353729 0.130741811 3.06637138 0.38702234
#> [90,] -0.15541550 -0.7742450 0.121174859 2.84199152 0.35870222
#> [91,] -0.15510051 -0.7726758 0.120929265 2.83623145 0.35797521
#> [92,] -0.14922988 -0.7434296 0.116352035 2.72887875 0.34442568
#> [93,] -0.14081948 -0.7015309 0.109794582 2.57508260 0.32501429
#> [94,] -0.13809454 -0.6879559 0.107669999 2.52525341 0.31872509
#> [95,] -0.13797639 -0.6873673 0.107577877 2.52309281 0.31845239
#> [96,] -0.12801937 -0.6377637 0.099814558 2.34101472 0.29547139
#> [97,] -0.12068501 -0.6012255 0.094096076 2.20689550 0.27854352
#> [98,] -0.10129023 -0.5046051 0.078974295 1.85223469 0.23377997
#> [99,] -0.07363229 -0.3668195 0.057409863 1.34647026 0.16994487
#> [100,] -0.07083771 -0.3528975 0.055230975 1.29536741 0.16349492
#>
#> $W
#> 100 x 5 sparse Matrix of class "dgCMatrix"
#> C1 C2 C3 C4 C5
#> 10 2.986057 . . . .
#> 14 2.855170 . . . .
#> 7 2.843639 . . . .
#> 8 2.811877 . . . .
#> 5 2.671388 . . . .
#> 11 2.615716 . . . .
#> 1 2.478049 . . . .
#> 6 2.412284 . . . .
#> 13 2.138420 . . . .
#> 15 1.963621 . . . .
#> 12 1.740554 . . . .
#> 2 1.719368 . . . .
#> 3 1.704801 . . . .
#> 9 1.700136 . . . .
#> 16 1.506803 . . . .
#> 4 1.072137 . . . .
#> 23 . 2.748884 . . .
#> 35 . 2.736189 . . .
#> 34 . 2.593307 . . .
#> 28 . 2.241464 . . .
#> 17 . 2.194495 . . .
#> 43 . 2.055532 . . .
#> 42 . 2.046634 . . .
#> 25 . 2.035571 . . .
#> 33 . 2.020082 . . .
#> 38 . 2.011659 . . .
#> 18 . 1.979755 . . .
#> 39 . 1.965052 . . .
#> 40 . 1.813921 . . .
#> 41 . 1.693293 . . .
#> 22 . 1.643696 . . .
#> 19 . 1.544563 . . .
#> 29 . 1.535430 . . .
#> 24 . 1.528104 . . .
#> 27 . 1.508180 . . .
#> 37 . 1.383985 . . .
#> 36 . 1.259410 . . .
#> 32 . 1.237713 . . .
#> 20 . 1.236612 . . .
#> 21 . 1.222591 . . .
#> 31 . 1.212467 . . .
#> 26 . 1.128980 . . .
#> 30 . 1.085595 . . .
#> 63 . . 2.791192 . .
#> 64 . . 2.785038 . .
#> 57 . . 2.659983 . .
#> 59 . . 2.380758 . .
#> 62 . . 2.376247 . .
#> 53 . . 2.320790 . .
#> 48 . . 2.291386 . .
#> 46 . . 2.282571 . .
#> 49 . . 2.199213 . .
#> 52 . . 2.192310 . .
#> 55 . . 2.018259 . .
#> 56 . . 1.941304 . .
#> 50 . . 1.875469 . .
#> 61 . . 1.852012 . .
#> 44 . . 1.787656 . .
#> 54 . . 1.605490 . .
#> 58 . . 1.512403 . .
#> 51 . . 1.413790 . .
#> 60 . . 1.245844 . .
#> 45 . . 1.199718 . .
#> 47 . . 1.183394 . .
#> 74 . . . 2.938296 .
#> 67 . . . 2.672211 .
#> 75 . . . 2.157187 .
#> 71 . . . 2.078599 .
#> 68 . . . 2.051153 .
#> 73 . . . 1.963593 .
#> 70 . . . 1.772178 .
#> 72 . . . 1.570399 .
#> 65 . . . 1.568734 .
#> 69 . . . 1.446553 .
#> 77 . . . 1.087278 .
#> 76 . . . 1.078013 .
#> 66 . . . 1.026652 .
#> 90 . . . . 2.959175
#> 78 . . . . 2.958659
#> 88 . . . . 2.914096
#> 81 . . . . 2.838002
#> 83 . . . . 2.680988
#> 89 . . . . 2.663365
#> 97 . . . . 2.570442
#> 98 . . . . 2.536666
#> 87 . . . . 2.351047
#> 85 . . . . 2.346282
#> 82 . . . . 2.306359
#> 92 . . . . 2.257474
#> 80 . . . . 2.138948
#> 91 . . . . 2.130246
#> 95 . . . . 2.089024
#> 86 . . . . 2.087237
#> 93 . . . . 1.936612
#> 100 . . . . 1.825662
#> 94 . . . . 1.532267
#> 79 . . . . 1.471403
#> 99 . . . . 1.113872
#> 96 . . . . 1.071597
#> 84 . . . . 1.023485
#>
#> $A_model
#> Undirected Factor Model
#> -----------------------
#>
#> Nodes (n): 100
#> Rank (k): 5
#>
#> X: 100 x 5 [dgCMatrix]
#> S: 5 x 5 [dsyMatrix]
#>
#> Poisson edges: TRUE
#> Allow self loops: TRUE
#>
#> Expected edges: 6706
#> Expected degree: 67.1
#> Expected density: 1.35467
#> $Theta
#> US1 US2 US3 US4 US5
#> C1 -1.32979852 0.1035242 -0.008853808 -0.02979754 0.02465426
#> C2 -0.38631533 -0.5046354 0.650226308 -0.17901651 0.06621933
#> C3 -0.06964710 -0.8239469 -0.435708441 -0.20436135 0.07672716
#> C4 -0.06282931 -0.3433414 -0.152259974 0.05722047 -1.03231636
#> C5 -0.05219517 -0.2366172 0.035575214 0.74869842 -0.19648162
#>
#> $model_name
#> [1] "informative"
#>
#> $C_true_model
#> Undirected Degree-Corrected Stochastic Blockmodel
#> -------------------------------------------------
#>
#> Nodes (n): 100 (arranged by block)
#> Blocks (k): 5
#>
#> Traditional DCSBM parameterization:
#>
#> Block memberships (z): 100 [factor]
#> Degree heterogeneity (theta): 100 [numeric]
#> Block probabilities (pi): 5 [numeric]
#>
#> Factor model parameterization:
#>
#> X: 100 x 5 [dgCMatrix]
#> S: 5 x 5 [dsyMatrix]
#>
#> Poisson edges: TRUE
#> Allow self loops: TRUE
#>
#> Expected edges: 6706
#> Expected degree: 67.1
#> Expected density: 1.35467
#> $C_obs_model
#> Undirected Degree-Corrected Stochastic Blockmodel
#> -------------------------------------------------
#>
#> Nodes (n): 100 (arranged by block)
#> Blocks (k): 5
#>
#> Traditional DCSBM parameterization:
#>
#> Block memberships (z): 100 [factor]
#> Degree heterogeneity (theta): 100 [numeric]
#> Block probabilities (pi): 5 [numeric]
#>
#> Factor model parameterization:
#>
#> X: 100 x 5 [dgCMatrix]
#> S: 5 x 5 [dsyMatrix]
#>
#> Poisson edges: TRUE
#> Allow self loops: TRUE
#>
#> Expected edges: 6947
#> Expected degree: 69.5
#> Expected density: 1.40345
#> $zC_true
#> 100 x 5 sparse Matrix of class "dgCMatrix"
#> C1 C2 C3 C4 C5
#> 10 2.986057 . . . .
#> 14 2.855170 . . . .
#> 7 2.843639 . . . .
#> 8 2.811877 . . . .
#> 23 2.748884 . . . .
#> 5 2.671388 . . . .
#> 11 2.615716 . . . .
#> 1 2.478049 . . . .
#> 6 2.412284 . . . .
#> 17 2.194495 . . . .
#> 13 2.138420 . . . .
#> 18 1.979755 . . . .
#> 15 1.963621 . . . .
#> 12 1.740554 . . . .
#> 2 1.719368 . . . .
#> 3 1.704801 . . . .
#> 9 1.700136 . . . .
#> 22 1.643696 . . . .
#> 19 1.544563 . . . .
#> 16 1.506803 . . . .
#> 20 1.236612 . . . .
#> 21 1.222591 . . . .
#> 4 1.072137 . . . .
#> 35 . 2.736189 . . .
#> 34 . 2.593307 . . .
#> 48 . 2.291386 . . .
#> 46 . 2.282571 . . .
#> 28 . 2.241464 . . .
#> 43 . 2.055532 . . .
#> 42 . 2.046634 . . .
#> 25 . 2.035571 . . .
#> 33 . 2.020082 . . .
#> 38 . 2.011659 . . .
#> 39 . 1.965052 . . .
#> 40 . 1.813921 . . .
#> 44 . 1.787656 . . .
#> 41 . 1.693293 . . .
#> 29 . 1.535430 . . .
#> 24 . 1.528104 . . .
#> 27 . 1.508180 . . .
#> 37 . 1.383985 . . .
#> 36 . 1.259410 . . .
#> 32 . 1.237713 . . .
#> 31 . 1.212467 . . .
#> 45 . 1.199718 . . .
#> 47 . 1.183394 . . .
#> 26 . 1.128980 . . .
#> 30 . 1.085595 . . .
#> 63 . . 2.791192 . .
#> 64 . . 2.785038 . .
#> 67 . . 2.672211 . .
#> 57 . . 2.659983 . .
#> 59 . . 2.380758 . .
#> 62 . . 2.376247 . .
#> 53 . . 2.320790 . .
#> 49 . . 2.199213 . .
#> 52 . . 2.192310 . .
#> 55 . . 2.018259 . .
#> 56 . . 1.941304 . .
#> 50 . . 1.875469 . .
#> 61 . . 1.852012 . .
#> 54 . . 1.605490 . .
#> 65 . . 1.568734 . .
#> 58 . . 1.512403 . .
#> 51 . . 1.413790 . .
#> 60 . . 1.245844 . .
#> 66 . . 1.026652 . .
#> 78 . . . 2.958659 .
#> 74 . . . 2.938296 .
#> 81 . . . 2.838002 .
#> 83 . . . 2.680988 .
#> 82 . . . 2.306359 .
#> 75 . . . 2.157187 .
#> 80 . . . 2.138948 .
#> 71 . . . 2.078599 .
#> 68 . . . 2.051153 .
#> 73 . . . 1.963593 .
#> 70 . . . 1.772178 .
#> 72 . . . 1.570399 .
#> 79 . . . 1.471403 .
#> 69 . . . 1.446553 .
#> 77 . . . 1.087278 .
#> 76 . . . 1.078013 .
#> 84 . . . 1.023485 .
#> 90 . . . . 2.959175
#> 88 . . . . 2.914096
#> 89 . . . . 2.663365
#> 97 . . . . 2.570442
#> 98 . . . . 2.536666
#> 87 . . . . 2.351047
#> 85 . . . . 2.346282
#> 92 . . . . 2.257474
#> 91 . . . . 2.130246
#> 95 . . . . 2.089024
#> 86 . . . . 2.087237
#> 93 . . . . 1.936612
#> 100 . . . . 1.825662
#> 94 . . . . 1.532267
#> 99 . . . . 1.113872
#> 96 . . . . 1.071597
#>
#> $zC_obs
#> 100 x 5 sparse Matrix of class "dgCMatrix"
#> C1 C2 C3 C4 C5
#> 10 2.986057 . . . .
#> 14 2.855170 . . . .
#> 7 2.843639 . . . .
#> 8 2.811877 . . . .
#> 5 2.671388 . . . .
#> 11 2.615716 . . . .
#> 1 2.478049 . . . .
#> 6 2.412284 . . . .
#> 13 2.138420 . . . .
#> 15 1.963621 . . . .
#> 12 1.740554 . . . .
#> 2 1.719368 . . . .
#> 3 1.704801 . . . .
#> 9 1.700136 . . . .
#> 16 1.506803 . . . .
#> 4 1.072137 . . . .
#> 23 . 2.748884 . . .
#> 35 . 2.736189 . . .
#> 34 . 2.593307 . . .
#> 28 . 2.241464 . . .
#> 17 . 2.194495 . . .
#> 43 . 2.055532 . . .
#> 42 . 2.046634 . . .
#> 25 . 2.035571 . . .
#> 33 . 2.020082 . . .
#> 38 . 2.011659 . . .
#> 18 . 1.979755 . . .
#> 39 . 1.965052 . . .
#> 40 . 1.813921 . . .
#> 41 . 1.693293 . . .
#> 22 . 1.643696 . . .
#> 19 . 1.544563 . . .
#> 29 . 1.535430 . . .
#> 24 . 1.528104 . . .
#> 27 . 1.508180 . . .
#> 37 . 1.383985 . . .
#> 36 . 1.259410 . . .
#> 32 . 1.237713 . . .
#> 20 . 1.236612 . . .
#> 21 . 1.222591 . . .
#> 31 . 1.212467 . . .
#> 26 . 1.128980 . . .
#> 30 . 1.085595 . . .
#> 63 . . 2.791192 . .
#> 64 . . 2.785038 . .
#> 57 . . 2.659983 . .
#> 59 . . 2.380758 . .
#> 62 . . 2.376247 . .
#> 53 . . 2.320790 . .
#> 48 . . 2.291386 . .
#> 46 . . 2.282571 . .
#> 49 . . 2.199213 . .
#> 52 . . 2.192310 . .
#> 55 . . 2.018259 . .
#> 56 . . 1.941304 . .
#> 50 . . 1.875469 . .
#> 61 . . 1.852012 . .
#> 44 . . 1.787656 . .
#> 54 . . 1.605490 . .
#> 58 . . 1.512403 . .
#> 51 . . 1.413790 . .
#> 60 . . 1.245844 . .
#> 45 . . 1.199718 . .
#> 47 . . 1.183394 . .
#> 74 . . . 2.938296 .
#> 67 . . . 2.672211 .
#> 75 . . . 2.157187 .
#> 71 . . . 2.078599 .
#> 68 . . . 2.051153 .
#> 73 . . . 1.963593 .
#> 70 . . . 1.772178 .
#> 72 . . . 1.570399 .
#> 65 . . . 1.568734 .
#> 69 . . . 1.446553 .
#> 77 . . . 1.087278 .
#> 76 . . . 1.078013 .
#> 66 . . . 1.026652 .
#> 90 . . . . 2.959175
#> 78 . . . . 2.958659
#> 88 . . . . 2.914096
#> 81 . . . . 2.838002
#> 83 . . . . 2.680988
#> 89 . . . . 2.663365
#> 97 . . . . 2.570442
#> 98 . . . . 2.536666
#> 87 . . . . 2.351047
#> 85 . . . . 2.346282
#> 82 . . . . 2.306359
#> 92 . . . . 2.257474
#> 80 . . . . 2.138948
#> 91 . . . . 2.130246
#> 95 . . . . 2.089024
#> 86 . . . . 2.087237
#> 93 . . . . 1.936612
#> 100 . . . . 1.825662
#> 94 . . . . 1.532267
#> 79 . . . . 1.471403
#> 99 . . . . 1.113872
#> 96 . . . . 1.071597
#> 84 . . . . 1.023485
#>
#> $zX
#> 100 x 5 sparse Matrix of class "dgCMatrix"
#>
#> 10 2.986057 . . . .
#> 14 2.855170 . . . .
#> 7 2.843639 . . . .
#> 8 2.811877 . . . .
#> 23 2.748884 . . . .
#> 5 2.671388 . . . .
#> 11 2.615716 . . . .
#> 1 2.478049 . . . .
#> 6 2.412284 . . . .
#> 17 2.194495 . . . .
#> 13 2.138420 . . . .
#> 18 1.979755 . . . .
#> 15 1.963621 . . . .
#> 12 1.740554 . . . .
#> 2 1.719368 . . . .
#> 3 1.704801 . . . .
#> 9 1.700136 . . . .
#> 22 1.643696 . . . .
#> 19 1.544563 . . . .
#> 16 1.506803 . . . .
#> 20 1.236612 . . . .
#> 21 1.222591 . . . .
#> 4 1.072137 . . . .
#> 35 . 2.736189 . . .
#> 34 . 2.593307 . . .
#> 48 . 2.291386 . . .
#> 46 . 2.282571 . . .
#> 28 . 2.241464 . . .
#> 43 . 2.055532 . . .
#> 42 . 2.046634 . . .
#> 25 . 2.035571 . . .
#> 33 . 2.020082 . . .
#> 38 . 2.011659 . . .
#> 39 . 1.965052 . . .
#> 40 . 1.813921 . . .
#> 44 . 1.787656 . . .
#> 41 . 1.693293 . . .
#> 29 . 1.535430 . . .
#> 24 . 1.528104 . . .
#> 27 . 1.508180 . . .
#> 37 . 1.383985 . . .
#> 36 . 1.259410 . . .
#> 32 . 1.237713 . . .
#> 31 . 1.212467 . . .
#> 45 . 1.199718 . . .
#> 47 . 1.183394 . . .
#> 26 . 1.128980 . . .
#> 30 . 1.085595 . . .
#> 63 . . 2.791192 . .
#> 64 . . 2.785038 . .
#> 67 . . 2.672211 . .
#> 57 . . 2.659983 . .
#> 59 . . 2.380758 . .
#> 62 . . 2.376247 . .
#> 53 . . 2.320790 . .
#> 49 . . 2.199213 . .
#> 52 . . 2.192310 . .
#> 55 . . 2.018259 . .
#> 56 . . 1.941304 . .
#> 50 . . 1.875469 . .
#> 61 . . 1.852012 . .
#> 54 . . 1.605490 . .
#> 65 . . 1.568734 . .
#> 58 . . 1.512403 . .
#> 51 . . 1.413790 . .
#> 60 . . 1.245844 . .
#> 66 . . 1.026652 . .
#> 78 . . . 2.958659 .
#> 74 . . . 2.938296 .
#> 81 . . . 2.838002 .
#> 83 . . . 2.680988 .
#> 82 . . . 2.306359 .
#> 75 . . . 2.157187 .
#> 80 . . . 2.138948 .
#> 71 . . . 2.078599 .
#> 68 . . . 2.051153 .
#> 73 . . . 1.963593 .
#> 70 . . . 1.772178 .
#> 72 . . . 1.570399 .
#> 79 . . . 1.471403 .
#> 69 . . . 1.446553 .
#> 77 . . . 1.087278 .
#> 76 . . . 1.078013 .
#> 84 . . . 1.023485 .
#> 90 . . . . 2.959175
#> 88 . . . . 2.914096
#> 89 . . . . 2.663365
#> 97 . . . . 2.570442
#> 98 . . . . 2.536666
#> 87 . . . . 2.351047
#> 85 . . . . 2.346282
#> 92 . . . . 2.257474
#> 91 . . . . 2.130246
#> 95 . . . . 2.089024
#> 86 . . . . 2.087237
#> 93 . . . . 1.936612
#> 100 . . . . 1.825662
#> 94 . . . . 1.532267
#> 99 . . . . 1.113872
#> 96 . . . . 1.071597
#>
#> $ztheta_0
#> [,1] [,2] [,3] [,4] [,5]
#> [1,] 0 0 0 0 0
#>
#> $ztheta_t
#> [,1] [,2] [,3] [,4] [,5]
#> [1,] 0 0 0 0 0
#>
#> $ztheta_c
#> [,1] [,2] [,3] [,4] [,5]
#> [1,] 1 0 0 0 0
#> [2,] 0 1 0 0 0
#> [3,] 0 0 1 0 0
#> [4,] 0 0 0 1 0
#> [5,] 0 0 0 0 1
#>
#> $ztheta_tc
#> [,1] [,2] [,3] [,4] [,5]
#> [1,] 0 0 0 0 0
#> [2,] 0 0 0 0 0
#> [3,] 0 0 0 0 0
#> [4,] 0 0 0 0 0
#> [5,] 0 0 0 0 0
#>
#> attr(,"class")
#> [1] "informative" "mediator"
#>
#> $model_name
#> [1] "informative_normal"
#>
#> attr(,"class")
#> [1] "normal" "outcome"
coef(o)
#> C1 C2 C3 C4 C5 US1 US2 US3
#> 0.7452323 0.7537690 0.7148711 1.2711129 0.7753766 1.5446659 0.4522614 0.2113007
#> US4 US5
#> 0.9657008 0.7248244
graph <- sample_tidygraph(o)
graph
#> # A tbl_graph: 100 nodes and 6753 edges
#> #
#> # An undirected multigraph with 1 component
#> #
#> # Node Data: 100 × 7 (active)
#> name C1 C2 C3 C4 C5 y
#> <chr> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl>
#> 1 1 2.99 0 0 0 0 -3.80
#> 2 2 2.86 0 0 0 0 -3.03
#> 3 3 2.84 0 0 0 0 -3.04
#> 4 4 2.81 0 0 0 0 -4.25
#> 5 5 2.67 0 0 0 0 -2.05
#> 6 6 2.62 0 0 0 0 -3.36
#> 7 7 2.48 0 0 0 0 -2.48
#> 8 8 2.41 0 0 0 0 -1.37
#> 9 9 2.14 0 0 0 0 -1.62
#> 10 10 1.96 0 0 0 0 -2.74
#> # ℹ 90 more rows
#> #
#> # Edge Data: 6,753 × 2
#> from to
#> <int> <int>
#> 1 2 16
#> 2 6 10
#> 3 3 19
#> # ℹ 6,750 more rows