The named verb for the package's simulate.stochastic_model() method. It
exists so that the public surface reads as one family of aci_* verbs. It
is the same call, with the same arguments and the same draws, and the S3
method stays registered on the stats::simulate() generic, so
simulate(model) keeps working.
Arguments
- object
A
stochastic_modelorcgns_modelobject.- ...
Passed to the
simulate()method:nsim,seed,t_end,dt,ic,burn_in,keep_hidden,keep_noise.
Examples
m <- aci_dyad_model()
aci_simulate(m, seed = 1, t_end = 2, dt = 0.01)
#> $obs
#> <obs_traj> k = 1, N+1 = 201, dt = 0.01, span [0, 2]
#>
#> $hidden
#> [,1]
#> [1,] 2.000000000
#> [2,] 2.020940184
#> [3,] 2.169374213
#> [4,] 2.304774115
#> [5,] 2.247583863
#> [6,] 1.989459145
#> [7,] 2.207530107
#> [8,] 2.241056449
#> [9,] 2.257710239
#> [10,] 2.213478588
#> [11,] 2.216360295
#> [12,] 2.148663163
#> [13,] 2.130350610
#> [14,] 2.023652144
#> [15,] 1.817383622
#> [16,] 1.850878064
#> [17,] 1.928508105
#> [18,] 1.817795674
#> [19,] 1.607359867
#> [20,] 1.577530661
#> [21,] 1.469682676
#> [22,] 1.184551066
#> [23,] 1.063681539
#> [24,] 0.870915777
#> [25,] 0.702715146
#> [26,] 0.460236798
#> [27,] 0.508740962
#> [28,] 0.342166740
#> [29,] 0.047822620
#> [30,] -0.058076792
#> [31,] -0.153803292
#> [32,] -0.374987247
#> [33,] -0.790808342
#> [34,] -0.976243590
#> [35,] -1.036573097
#> [36,] -1.153448076
#> [37,] -1.261012575
#> [38,] -1.294402527
#> [39,] -1.494748496
#> [40,] -1.459972940
#> [41,] -1.534298997
#> [42,] -1.534459471
#> [43,] -1.495469646
#> [44,] -1.531384316
#> [45,] -1.675167730
#> [46,] -1.611366862
#> [47,] -1.856731527
#> [48,] -1.948634693
#> [49,] -2.007997746
#> [50,] -2.056258847
#> [51,] -1.981019122
#> [52,] -1.993256184
#> [53,] -1.975796680
#> [54,] -2.000890457
#> [55,] -2.041522966
#> [56,] -1.981893865
#> [57,] -1.878504880
#> [58,] -2.133023760
#> [59,] -2.085226825
#> [60,] -2.052502613
#> [61,] -2.099099626
#> [62,] -2.005572444
#> [63,] -2.049834574
#> [64,] -2.081278611
#> [65,] -1.997957005
#> [66,] -1.827012909
#> [67,] -1.798795587
#> [68,] -1.839013331
#> [69,] -1.951489782
#> [70,] -1.979070890
#> [71,] -2.066579484
#> [72,] -2.088206468
#> [73,] -2.043940254
#> [74,] -2.122084093
#> [75,] -1.849679531
#> [76,] -1.825484561
#> [77,] -1.701568174
#> [78,] -1.920024359
#> [79,] -1.833346747
#> [80,] -1.952345946
#> [81,] -1.846804123
#> [82,] -1.792914057
#> [83,] -1.818990832
#> [84,] -1.671384035
#> [85,] -1.727912766
#> [86,] -1.770503501
#> [87,] -1.855235992
#> [88,] -1.906335929
#> [89,] -1.796558192
#> [90,] -1.737938538
#> [91,] -1.622567474
#> [92,] -1.647317639
#> [93,] -1.594648068
#> [94,] -1.556316584
#> [95,] -1.686098122
#> [96,] -1.495210271
#> [97,] -1.471091163
#> [98,] -1.384273877
#> [99,] -1.277172256
#> [100,] -1.270371813
#> [101,] -1.287883529
#> [102,] -1.184875858
#> [103,] -1.275947039
#> [104,] -1.064665066
#> [105,] -1.089309995
#> [106,] -0.910116343
#> [107,] -0.745627482
#> [108,] -0.725925191
#> [109,] -0.658383201
#> [110,] -0.751040747
#> [111,] -0.708762837
#> [112,] -0.596162903
#> [113,] -0.577850953
#> [114,] -0.614464904
#> [115,] -0.672406195
#> [116,] -0.667336428
#> [117,] -0.551510195
#> [118,] -0.591149630
#> [119,] -0.593976006
#> [120,] -0.713828932
#> [121,] -0.654623188
#> [122,] -0.514143947
#> [123,] -0.354995395
#> [124,] -0.266009322
#> [125,] -0.445711068
#> [126,] -0.389178683
#> [127,] -0.335410432
#> [128,] -0.363499922
#> [129,] -0.338981559
#> [130,] -0.417989922
#> [131,] -0.341659751
#> [132,] -0.366059272
#> [133,] -0.514586724
#> [134,] -0.541734790
#> [135,] -0.395967907
#> [136,] -0.419647096
#> [137,] -0.336723800
#> [138,] -0.231877508
#> [139,] -0.221632623
#> [140,] -0.246873501
#> [141,] -0.289461300
#> [142,] -0.204908541
#> [143,] -0.300487970
#> [144,] -0.264986956
#> [145,] -0.282797175
#> [146,] -0.497990907
#> [147,] -0.626398950
#> [148,] -0.521666139
#> [149,] -0.528393849
#> [150,] -0.435649600
#> [151,] -0.234765022
#> [152,] -0.076223959
#> [153,] 0.001883607
#> [154,] 0.049870455
#> [155,] 0.040338712
#> [156,] 0.207870628
#> [157,] 0.276157672
#> [158,] 0.166837647
#> [159,] 0.160171901
#> [160,] -0.022920267
#> [161,] -0.033175713
#> [162,] -0.282466729
#> [163,] -0.139779017
#> [164,] -0.192779251
#> [165,] -0.224827293
#> [166,] -0.230645613
#> [167,] -0.158270764
#> [168,] -0.079897174
#> [169,] -0.012916874
#> [170,] -0.060133379
#> [171,] -0.186185248
#> [172,] -0.214175309
#> [173,] -0.175886580
#> [174,] -0.247949394
#> [175,] -0.244429305
#> [176,] -0.350801667
#> [177,] -0.340598976
#> [178,] -0.316738341
#> [179,] -0.320827090
#> [180,] -0.327912816
#> [181,] -0.142983883
#> [182,] -0.060103532
#> [183,] 0.058262533
#> [184,] -0.028292812
#> [185,] -0.005918460
#> [186,] 0.116591848
#> [187,] 0.116887585
#> [188,] -0.090034954
#> [189,] -0.049893687
#> [190,] -0.234242709
#> [191,] -0.307950505
#> [192,] -0.167024286
#> [193,] -0.097513658
#> [194,] 0.018909646
#> [195,] 0.056773551
#> [196,] 0.052072635
#> [197,] -0.033144959
#> [198,] 0.134432342
#> [199,] 0.145344294
#> [200,] 0.080857223
#> [201,] 0.174381496
#>
#> $noise
#> $B
#> [,1] [,2] [,3] [,4] [,5] [,6] [,7]
#> [1,] 0.4094018 1.688873 1.586588 -0.3309078 -2.285236 2.497662 0.6670662
#> [,8] [,9] [,10] [,11] [,12] [,13] [,14]
#> [1,] 0.5413273 -0.01339952 0.5101084 -0.1643758 0.4206946 -0.4002467 -1.370208
#> [,15] [,16] [,17] [,18] [,19] [,20] [,21]
#> [1,] 0.9878383 1.519745 -0.3087406 -1.25329 0.6422413 -0.04470914 -1.733218
#> [,22] [,23] [,24] [,25] [,26] [,27] [,28]
#> [1,] 0.00213186 -0.6303003 -0.3409686 -1.156572 1.803142 -0.331132 -1.605513
#> [,29] [,30] [,31] [,32] [,33] [,34] [,35]
#> [1,] 0.1971934 0.2631756 -0.9858267 -2.888921 -0.6404817 0.5705076 -0.05972328
#> [,36] [,37] [,38] [,39] [,40] [,41] [,42]
#> [1,] -0.09817874 0.5608207 -1.186459 1.096777 -0.005344028 0.7073107 1.034108
#> [,43] [,44] [,45] [,46] [,47] [,48] [,49]
#> [1,] 0.2234804 -0.8787076 1.162965 -2.000165 -0.5447907 -0.2556707 -0.166121
#> [,50] [,51] [,52] [,53] [,54] [,55] [,56]
#> [1,] 1.020464 0.1362219 0.4071676 -0.06965481 -0.2476643 0.6955508 1.146228
#> [,57] [,58] [,59] [,60] [,61] [,62] [,63]
#> [1,] -2.403096 0.5727396 0.3747244 -0.4252677 0.9510128 -0.3892372 -0.2843307
#> [,64] [,65] [,66] [,67] [,68] [,69] [,70]
#> [1,] 0.8574098 1.719627 0.2700549 -0.422184 -1.189113 -0.331033 -0.9398293
#> [,71] [,72] [,73] [,74] [,75] [,76] [,77]
#> [1,] -0.2589326 0.3943792 -0.8518571 2.649167 0.1560117 1.130207 -2.289124
#> [,78] [,79] [,80] [,81] [,82] [,83] [,84]
#> [1,] 0.7410012 -1.316245 0.9198037 0.3981302 -0.4075286 1.324259 -0.7012317
#> [,85] [,86] [,87] [,88] [,89] [,90] [,91]
#> [1,] -0.5806143 -1.001072 -0.6681786 0.945185 0.4337021 1.005159 -0.3901187
#> [,92] [,93] [,94] [,95] [,96] [,97] [,98]
#> [1,] 0.3763703 0.2441649 -1.426257 1.778429 0.1344477 0.765599 0.9551367
#> [,99] [,100] [,101] [,102] [,103] [,104] [,105]
#> [1,] -0.0505657 -0.3058154 0.8936737 -1.047298 1.971337 -0.3836321 1.654145
#> [,106] [,107] [,108] [,109] [,110] [,111] [,112]
#> [1,] 1.512213 0.08296573 0.5672209 -1.024548 0.3230065 1.043612 0.09907849
#> [,113] [,114] [,115] [,116] [,117] [,118] [,119]
#> [1,] -0.4541369 -0.6557819 -0.03592242 1.069161 -0.4839749 -0.1210101 -1.29414
#> [,120] [,121] [,122] [,123] [,124] [,125] [,126]
#> [1,] 0.4943128 1.307902 1.497041 0.8147027 -1.869789 0.4820295 0.4561356
#> [,127] [,128] [,129] [,130] [,131] [,132] [,133]
#> [1,] -0.3534003 0.1704895 -0.864036 0.6792308 -0.327101 -1.569082 -0.3674508
#> [,134] [,135] [,136] [,137] [,138] [,139] [,140]
#> [1,] 1.364435 -0.3342814 0.73275 0.9465856 0.004398704 -0.3523223 -0.5296955
#> [,141] [,142] [,143] [,144] [,145] [,146] [,147]
#> [1,] 0.7395892 -1.063457 0.2462108 -0.2894994 -2.264889 -1.40885 0.9160193
#> [,148] [,149] [,150] [,151] [,152] [,153] [,154]
#> [1,] -0.191279 0.8032832 1.887474 1.473881 0.6772685 0.3799627 -0.1927984
#> [,155] [,156] [,157] [,158] [,159] [,160] [,161]
#> [1,] 1.577892 0.5962341 -1.173577 -0.1556425 -1.91891 -0.1952588 -2.592328
#> [,162] [,163] [,164] [,165] [,166] [,167] [,168]
#> [1,] 1.314002 -0.635543 -0.4299788 -0.1693183 0.6122182 0.6783402 0.567952
#> [,169] [,170] [,171] [,172] [,173] [,174] [,175]
#> [1,] -0.5725426 -1.363291 -0.3887222 0.2779141 -0.8230811 -0.06884093 -1.167662
#> [,176] [,177] [,178] [,179] [,180] [,181] [,182]
#> [1,] -0.008309014 0.1288554 -0.1458756 -0.163911 1.763552 0.7625865 1.111431
#> [,183] [,184] [,185] [,186] [,187] [,188] [,189]
#> [1,] -0.923207 0.1643418 1.154825 -0.05652142 -2.129361 0.3448458 -1.904955
#> [,190] [,191] [,192] [,193] [,194] [,195] [,196]
#> [1,] -0.8111702 1.324004 0.6156368 1.091669 0.3066049 -0.1101588 -0.9243128
#> [,197] [,198] [,199] [,200]
#> [1,] 1.592914 0.0450106 -0.7151284 0.8652231
#>
#> $W
#> [,1] [,2] [,3] [,4] [,5] [,6] [,7]
#> [1,] -0.6264538 0.1836433 -0.8356286 1.595281 0.3295078 -0.8204684 0.4874291
#> [,8] [,9] [,10] [,11] [,12] [,13] [,14]
#> [1,] 0.7383247 0.5757814 -0.3053884 1.511781 0.3898432 -0.6212406 -2.2147
#> [,15] [,16] [,17] [,18] [,19] [,20] [,21]
#> [1,] 1.124931 -0.04493361 -0.01619026 0.9438362 0.8212212 0.5939013 0.9189774
#> [,22] [,23] [,24] [,25] [,26] [,27] [,28]
#> [1,] 0.7821363 0.07456498 -1.989352 0.6198257 -0.05612874 -0.1557955 -1.470752
#> [,29] [,30] [,31] [,32] [,33] [,34] [,35]
#> [1,] -0.4781501 0.4179416 1.35868 -0.1027877 0.3876716 -0.05380504 -1.37706
#> [,36] [,37] [,38] [,39] [,40] [,41] [,42]
#> [1,] -0.4149946 -0.39429 -0.0593134 1.100025 0.7631757 -0.1645236 -0.2533617
#> [,43] [,44] [,45] [,46] [,47] [,48] [,49]
#> [1,] 0.6969634 0.5566632 -0.6887557 -0.7074952 0.364582 0.7685329 -0.1123462
#> [,50] [,51] [,52] [,53] [,54] [,55] [,56]
#> [1,] 0.8811077 0.3981059 -0.6120264 0.3411197 -1.129363 1.433024 1.9804
#> [,57] [,58] [,59] [,60] [,61] [,62] [,63]
#> [1,] -0.3672215 -1.044135 0.5697196 -0.1350546 2.401618 -0.03924 0.6897394
#> [,64] [,65] [,66] [,67] [,68] [,69] [,70]
#> [1,] 0.02800216 -0.7432732 0.1887923 -1.804959 1.465555 0.1532533 2.172612
#> [,71] [,72] [,73] [,74] [,75] [,76] [,77]
#> [1,] 0.4755095 -0.7099464 0.6107264 -0.9340976 -1.253633 0.2914462 -0.4432919
#> [,78] [,79] [,80] [,81] [,82] [,83] [,84]
#> [1,] 0.001105352 0.07434132 -0.5895209 -0.5686687 -0.1351786 1.178087 -1.523567
#> [,85] [,86] [,87] [,88] [,89] [,90] [,91]
#> [1,] 0.5939462 0.3329504 1.0631 -0.3041839 0.3700188 0.2670988 -0.54252
#> [,92] [,93] [,94] [,95] [,96] [,97] [,98]
#> [1,] 1.207868 1.160403 0.7002136 1.586833 0.5584864 -1.276592 -0.5732654
#> [,99] [,100] [,101] [,102] [,103] [,104] [,105]
#> [1,] -1.224613 -0.4734006 -0.6203667 0.04211587 -0.9109216 0.1580288 -0.6545846
#> [,106] [,107] [,108] [,109] [,110] [,111] [,112]
#> [1,] 1.767287 0.7167075 0.9101742 0.3841854 1.682176 -0.6357365 -0.4616447
#> [,113] [,114] [,115] [,116] [,117] [,118] [,119]
#> [1,] 1.432282 -0.6506964 -0.2073807 -0.3928079 -0.3199929 -0.2791133 0.4941883
#> [,120] [,121] [,122] [,123] [,124] [,125] [,126]
#> [1,] -0.1773305 -0.5059575 1.343039 -0.2145794 -0.1795565 -0.1001907 0.7126663
#> [,127] [,128] [,129] [,130] [,131] [,132]
#> [1,] -0.0735644 -0.03763417 -0.6816605 -0.3242703 0.06016044 -0.5888945
#> [,133] [,134] [,135] [,136] [,137] [,138] [,139]
#> [1,] 0.5314962 -1.518394 0.3065579 -1.53645 -0.3009761 -0.5282799 -0.6520948
#> [,140] [,141] [,142] [,143] [,144] [,145] [,146]
#> [1,] -0.05689678 -1.914359 1.176583 -1.664972 -0.4635304 -1.11592 -0.750819
#> [,147] [,148] [,149] [,150] [,151] [,152] [,153]
#> [1,] 2.087167 0.01739562 -1.286301 -1.640606 0.4501871 -0.01855983 -0.3180684
#> [,154] [,155] [,156] [,157] [,158] [,159] [,160]
#> [1,] -0.9293621 -1.48746 -1.075192 1.000029 -0.6212667 -1.384427 1.869291
#> [,161] [,162] [,163] [,164] [,165] [,166] [,167]
#> [1,] 0.4251004 -0.2386471 1.058483 0.8864227 -0.619243 2.206102 -0.255027
#> [,168] [,169] [,170] [,171] [,172] [,173] [,174]
#> [1,] -1.424495 -0.1443996 0.2075383 2.307978 0.1058024 0.4569988 -0.07715294
#> [,175] [,176] [,177] [,178] [,179] [,180] [,181]
#> [1,] -0.3340008 -0.03472603 0.7876396 2.075245 1.027392 1.207908 -1.231323
#> [,182] [,183] [,184] [,185] [,186] [,187] [,188]
#> [1,] 0.9838956 0.2199248 -1.46725 0.5210227 -0.1587546 1.464587 -0.766082
#> [,189] [,190] [,191] [,192] [,193] [,194] [,195]
#> [1,] -0.4302118 -0.9261095 -0.177104 0.4020118 -0.7317482 0.8303732 -1.208083
#> [,196] [,197] [,198] [,199] [,200]
#> [1,] -1.047984 1.441158 -1.015847 0.4119747 -0.3810761
#>
#> attr(,"class")
#> [1] "noise_store"
#>
#> $model
#> <cgns_model> 'dyad[p1] y->x': k = 1 observed, l = 1 hidden
#>
#> $meta
#> $meta$perfect_model
#> [1] TRUE
#>
#> $meta$scheme
#> [1] "euler_maruyama"
#>
#> $meta$dt
#> [1] 0.01
#>
#> $meta$burn_in
#> [1] 0
#>
#> $meta$burn_interval
#> [1] 0 0
#>
#>
#> attr(,"class")
#> [1] "aci_sim"