Method to compute residuals of nrm models

# S3 method for nrm
residuals(object, adj, RMSLE = FALSE, null = FALSE, ...)

Arguments

object

nrm object

adj

adjacency against which to compute residuals

RMSLE

logical, return log residuals? default FALSE

null

logical. use null model?

...

additional parameters to be passed to and from internal functions.

Value

numeric vector, residuals of nrm model fit against the original data

Examples


data('highschool.predictors')
highschool.m <- nrm(w=highschool.predictors[1], adj=contacts.adj, directed=FALSE, selfloops=FALSE)
residuals(highschool.m, contacts.adj)
#>     [1]  1.736697e+00 -3.663363e-01  5.775660e+01 -3.591470e-01  1.676138e+01
#>     [6]  1.516680e+02  7.285832e+00 -1.389576e-01 -5.846154e-01 -1.553522e+00
#>    [11] -7.659767e-01 -5.089433e-01 -7.080860e-01 -6.941918e-01 -3.313154e+00
#>    [16]  2.348672e+01 -1.669924e+00 -2.323336e+00 -2.277749e+00  3.531291e+02
#>    [21] -4.857671e+00  4.046608e+00  1.366535e+00  1.411866e+01  1.313596e+01
#>    [26] -3.123832e+00 -1.842738e+00 -6.046273e+00 -9.356711e-02  1.273396e+00
#>    [31] -1.010917e+00  1.008920e+00 -4.730136e+00  3.088633e+01 -6.935220e+00
#>    [36] -2.630843e+00 -4.541864e-01  4.033785e+00  6.557178e-01  4.568210e+01
#>    [41] -6.289940e+00  1.618933e+01 -9.222166e+00 -3.498391e+00  5.829873e+02
#>    [46]  3.640970e-01  4.577487e+00  1.412159e+00  4.236941e-01 -2.750583e+00
#>    [51] -1.229100e+00  1.967152e+00 -1.529835e+00  1.924524e+01  2.666586e+00
#>    [56]  2.396445e+00  4.598981e+00  1.442062e+00  6.453011e+00 -2.610666e+00
#>    [61] -1.166578e+00 -3.827707e+00  3.547985e+00  1.833450e+01  3.778528e+01
#>    [66]  3.070315e+02  1.131459e+01  8.880148e+00  4.441965e+00  2.472537e+00
#>    [71]  6.270992e+01  7.424205e-01 -5.688547e+00  1.094534e+01  1.423492e+02
#>    [76]  1.888156e+02  7.929556e+01  2.843313e+01  7.056193e+00  1.372903e+00
#>    [81]  3.127525e+00 -8.553545e-01  1.419176e+02 -1.824213e+00  6.014510e+00
#>    [86]  1.729435e+00  1.039560e+01  1.753678e+01  3.548554e+01  4.562583e+00
#>    [91]  2.569861e+02  1.903764e-01  3.462060e+00  4.251567e+00  7.266254e+00
#>    [96] -1.501984e+00  8.043514e+01 -4.134534e+00  1.220522e+02  1.576587e+01
#>   [101]  1.480291e+02  3.700857e+00  1.476694e+01  3.255676e+01  1.207182e+01
#>   [106]  3.640223e+00  1.076095e+01 -3.325852e-01 -3.260588e-01  8.344380e+01
#>   [111] -2.981184e+00  5.071833e+01  1.344625e-01 -9.927939e-01  6.798214e-01
#>   [116]  3.422692e+00  4.520585e-01  1.646990e+01  1.114316e+01  2.649812e-01
#>   [121] -7.593038e-01  4.954949e-01 -7.019161e-01  3.118577e-01 -2.284336e+00
#>   [126]  5.323920e-01 -4.815424e+00  1.732967e-01  4.904724e+00  9.213784e+00
#>   [131]  2.078160e+01  4.843578e+00  6.770756e+00 -1.808339e+00  1.944875e+01
#>   [136]  3.310663e+00  4.423311e-01 -3.705347e-01  4.844787e-01 -5.054055e-01
#>   [141]  1.758785e+01 -4.620916e+00  8.463356e+00  2.365839e+01  1.461141e+00
#>   [146]  2.953687e+00 -8.948476e-01  2.150672e+00  1.462831e+01 -3.281219e-01
#>   [151]  9.860698e+00  6.829544e+00 -6.849438e-02 -1.410337e-02 -9.362407e-03
#>   [156] -1.303493e-02 -1.277778e-02 -6.108563e-02 -2.729496e-02 -8.957487e-02
#>   [161] -3.396362e-02 -3.896174e-02  9.481826e-01 -2.264543e-02 -2.149188e-02
#>   [166] -6.006065e-02 -3.362136e-02 -2.883875e-02 -1.281397e-02 -2.704414e-02
#>   [171] -1.986861e-02  1.691142e+00  3.794786e+00  6.714486e+00  5.720088e+00
#>   [176] -1.335956e+00 -2.559265e+00  3.904125e+01  3.256960e+00 -8.522862e-01
#>   [181] -1.333374e-01  5.504397e+00  2.529608e+00  8.686454e+00  1.264430e+00
#>   [186]  2.369007e+00  2.179791e+01  2.024082e+02  5.136724e+00 -1.099915e-02
#>   [191]  9.821793e+01  4.803701e-01 -7.229589e-01 -7.087722e-01 -3.827950e-01
#>   [196] -1.511605e+00 -1.959783e+00  1.185348e-01  1.484191e+01  1.713026e+01
#>   [201]  7.450735e-01  2.808910e+00 -1.326052e+00 -1.862550e+00  4.022501e-01
#>   [206]  1.229000e+01  2.815016e+02 -1.005262e-01  7.972145e+00  5.739048e+01
#>   [211]  3.835748e+00  1.226430e+00 -7.626024e-02  9.448586e-01  1.964123e+00
#>   [216] -1.250286e+00 -7.383491e+00  2.199107e+00 -3.212694e+00 -4.272111e+00
#>   [221] -8.681840e-01 -1.773153e+00  4.859444e-02  2.272645e-01 -2.378535e+00
#>   [226]  5.943035e+00 -2.230708e+00  3.616734e-01 -4.148071e-02 -9.073756e-01
#>   [231] -1.297582e+00 -8.996413e-01  2.402244e+00 -8.316488e-01  1.846697e-01
#>   [236]  5.108702e+00 -7.454491e+00 -5.705330e+00  3.083570e+01  7.517500e+00
#>   [241]  3.169887e+01  2.556421e+00  3.629853e+00  7.917397e+01  2.585746e+01
#>   [246]  3.016207e+01  7.498598e+00  2.762936e-01  6.285727e+02 -3.206073e-02
#>   [251] -2.005859e+00 -7.753804e-01  1.357039e+00  1.226319e+00  7.485942e+00
#>   [256]  2.847936e-01  2.988282e-01 -3.346521e+00 -1.495395e+00 -4.906598e+00
#>   [261]  2.138710e+00  6.865053e+00 -1.838970e+00  7.585304e-01  4.821682e+00
#>   [266]  2.970961e+01  2.157422e+00 -5.806169e-01  2.976113e-01  3.517620e+00
#>   [271]  7.191127e+01 -2.755662e-02  7.397019e+00 -5.268202e-01  1.727056e+00
#>   [276]  3.682437e+02 -3.566769e-02 -2.369033e-02 -3.296943e-02 -3.232113e-02
#>   [281] -1.543620e-01 -6.897558e-02 -2.263348e-01 -8.584258e-02 -9.846825e-02
#>   [286] -1.309469e-01 -5.724831e-02 -5.433455e-02 -1.517724e-01 -8.497878e-02
#>   [291] -7.289457e-02 -3.239134e-02 -6.836187e-02 -5.021423e-02 -1.245906e-03
#>   [296] -2.780574e-02 -7.041182e-02  1.689517e+01 -8.101464e-02 -6.965667e-02
#>   [301]  1.842935e+00  1.231205e+00 -1.069616e+00  9.513724e-01  3.995214e+00
#>   [306] -1.236393e+00 -2.337905e+00 -7.836010e-01 -3.192859e+00 -4.245735e+00
#>   [311] -8.566503e-01  2.377941e-01 -3.920836e+00 -7.556170e-01 -2.363850e+00
#>   [316]  7.949560e+00 -2.169364e-01  4.371788e+00 -4.122537e-02  9.822634e-02
#>   [321]  1.271660e+01  6.216008e+02  6.373357e+00  9.741089e+00  3.895813e+00
#>   [326]  1.702762e+00 -8.619318e-01 -1.991957e-01 -1.175665e+00  3.889124e-01
#>   [331] -2.507320e+00  2.277315e+01 -3.120820e+00 -3.579657e+00 -4.760083e+00
#>   [336] -2.081574e+00 -1.975689e+00  2.483033e+00 -1.089446e+00 -1.650218e+00
#>   [341] -1.177695e+00  6.514493e+00 -8.254608e-01 -4.622168e-02  2.398898e+01
#>   [346]  1.643998e+01 -3.811035e+00  2.605515e+01 -2.532567e+00 -1.168110e-01
#>   [351] -2.787506e+00  1.582296e+01 -1.176241e-01  2.836343e+00  8.395552e-01
#>   [356] -7.658467e-01 -3.422182e-01 -1.228785e-01  5.740558e-01 -4.885727e-01
#>   [361] -6.496913e-01 -2.840956e-01 -2.696427e-01  4.247000e+00  5.783386e-01
#>   [366] -3.617112e-01 -1.607349e-01 -3.392288e-01  7.508504e-01 -6.285670e-03
#>   [371]  1.586201e+01  1.650601e+00  3.479847e+00 -4.019377e-01 -3.456521e-01
#>   [376] -1.591971e-02  3.483058e+00  3.420431e+00  1.408426e+00  6.069419e-01
#>   [381]  1.453138e+00 -5.361309e-01  1.441155e+00 -1.143422e+00 -1.751728e+00
#>   [386]  1.576807e+00 -1.632440e+00 -1.170756e+00 -9.492593e-01 -9.009714e-01
#>   [391]  1.564841e+02  1.759112e+01 -1.208582e+00  1.462935e+00 -1.133467e+00
#>   [396]  6.167531e+00 -2.106451e-02 -4.610547e-01 -1.167447e+00 -1.737956e+00
#>   [401]  4.765705e+01 -1.154928e+00 -5.325525e-02 -1.727226e+00  2.406353e+01
#>   [406]  4.573571e+01 -4.656665e-01  1.690596e+00 -4.304720e-01 -4.220250e-01
#>   [411]  1.169858e+02 -3.858585e+00  6.304681e+01 -1.202777e-01 -1.284987e+00
#>   [416] -1.708724e+00 -7.472197e-01 -7.092098e-01  1.601958e+01 -1.109015e+00
#>   [421] -9.513459e-01  2.551876e+02 -8.922194e-01  9.190749e+00 -1.658881e-02
#>   [426]  2.444118e+00 -9.189668e-01 -1.368045e+00 -4.531908e+00 -9.091125e-01
#>   [431] -4.192813e-02 -1.359598e+00 -5.243066e-01 -2.080445e-01  1.304868e+00
#>   [436] -1.150153e-01 -7.641680e-02  2.893678e+00 -1.042348e-01  5.024774e-01
#>   [441] -9.530930e-01  2.270538e+00  7.232887e-01 -3.173966e-01 -4.220644e-01
#>   [446] -1.845620e-01 -1.751730e-01  2.251082e+01  5.726071e+00 -2.349835e-01
#>   [451]  5.523412e-01 -2.203783e-01  3.306104e+00 -4.087947e-03  4.615699e+00
#>   [456] -2.269851e-01  6.620875e-01  1.488059e+01 -2.245511e-01 -1.034669e-02
#>   [461] -3.358265e-01 -3.765109e-01  2.948621e+00  7.282830e+01 -5.794171e-01
#>   [466]  7.878237e-01  1.194587e+00 -1.205623e-01 -9.857428e-02 -4.243161e+00
#>   [471] -2.342911e+00  1.031260e+01 -1.916183e+00 -2.344934e+00 -4.447958e+00
#>   [476] -1.945083e+00 -1.846140e+00 -4.155213e+00 -8.868664e-01 -2.476440e+00
#>   [481] -1.100472e+00  8.677471e+00 -1.705763e+00 -4.319021e-02  1.305527e+01
#>   [486]  1.360785e+01 -3.561141e+00 -1.751749e+00 -2.366503e+00 -1.091508e-01
#>   [491] -2.539154e+00  8.700321e+02  2.445843e+01  1.419051e+01  5.756443e-01
#>   [496]  1.648178e+00  1.688385e+00  8.128516e+00  5.787514e+00  1.811306e+00
#>   [501] -4.673272e+00 -2.535107e+00 -8.318024e+00  3.908446e+02 -3.619329e+00
#>   [506] -3.812837e+00  8.953564e-01 -1.997584e+00  2.642189e+01  3.876315e+00
#>   [511]  1.332041e+01 -1.907471e-01  4.869472e-01  1.115431e+01 -4.673416e-02
#>   [516]  1.977776e+00  4.411610e+00  9.146729e+00  8.022517e+00 -2.560634e+00
#>   [521] -1.181058e-01 -3.829481e+00 -3.293402e+00 -5.859925e-01  4.206727e-02
#>   [526] -1.541200e+00  2.619316e+00 -4.011878e+00  1.850845e+00  1.900899e+00
#>   [531] -1.378812e-01 -1.351751e-01  4.354813e+00 -1.235972e+00  5.403646e-02
#>   [536]  1.641159e+00 -4.116013e-01 -5.473336e-01 -2.393426e-01 -2.271671e-01
#>   [541]  3.656353e-01 -3.552333e-01 -3.047287e-01 -5.805290e-01 -2.857890e-01
#>   [546]  2.100153e+00 -5.305410e-03  8.501634e+00 -2.943567e-01  1.561794e+00
#>   [551]  3.354835e+01  7.370880e+01 -1.342183e-02  5.644989e-01  1.511740e+00
#>   [556]  1.933368e+00  2.477734e+01 -7.513920e-01  1.381442e+01  3.543756e+00
#>   [561]  4.450633e+01  8.242279e-01 -1.167864e-01  2.383751e+01  1.784070e+01
#>   [566]  1.239685e+00 -1.456521e+00  8.852385e-01  5.771258e-01 -4.850488e-01
#>   [571]  3.549991e-01  1.717947e+00 -2.677046e-01  2.524383e-01 -4.186227e-01
#>   [576] -3.591061e-01  3.931588e+01 -3.367868e-01 -1.060418e+00 -6.254367e-03
#>   [581]  4.412702e+00  6.531166e-01  2.948360e+01 -7.106873e-01  1.656836e+00
#>   [586] -1.581915e-02  7.448679e+01 -5.753869e-01 -7.852462e-02 -2.623904e-01
#>   [591]  3.511453e+01  5.781298e+00 -5.376577e-01  4.182363e-01  8.716381e+00
#>   [596]  4.396055e+00 -6.572074e-02 -1.482723e+00 -1.453629e+00  1.010623e+02
#>   [601] -3.100117e+00  1.082811e+01 -2.858668e+00 -4.425986e+00 -5.885495e+00
#>   [606] -2.573718e+00 -2.442799e+00 -4.821326e+00  1.191801e+02 -3.276804e+00
#>   [611]  1.054386e+01 -1.073151e+00  3.874295e+01 -5.715595e-02 -1.250053e+00
#>   [616]  1.383472e+01  1.782879e+02  3.589135e-01  2.868663e+00  3.855565e+00
#>   [621]  1.493170e+02 -3.250293e+00  6.283399e+00  2.605690e+00  2.211531e+01
#>   [626]  5.344691e-01 -1.906024e+00  2.769152e+01  1.396299e+00  2.328857e+01
#>   [631]  3.779902e+01  5.873144e+00 -2.959056e+00 -9.009951e-01  3.171546e+02
#>   [636] -6.186834e+00  1.383700e+03 -4.700666e+00 -7.832847e+00 -9.745550e+00
#>   [641] -4.136327e+00 -4.875054e+00 -8.613164e+00 -4.623252e+00 -6.539456e+00
#>   [646]  1.509402e+01 -6.133032e+00  3.495653e+00 -1.140910e-01  2.350529e+01
#>   [651] -3.316890e+00 -9.403775e+00 -5.266431e+00 -3.249153e+00 -2.882716e-01
#>   [656] -6.345715e+00  1.452211e+01  5.698716e-01 -2.778286e+00  2.362388e+02
#>   [661]  1.070939e+00 -4.790846e+00 -7.594016e+00 -2.048021e-01 -4.197867e-01
#>   [666]  4.920449e+02 -1.801628e+00 -1.197070e+00 -1.665465e+00 -1.632786e+00
#>   [671] -7.792742e+00  1.615178e+02 -1.142554e+01 -4.334235e+00 -4.971472e+00
#>   [676] -5.610859e+00 -2.890921e+00 -2.743866e+00 -5.662027e+00 -3.290662e+00
#>   [681] -3.680659e+00 -1.635600e+00 -3.451907e+00 -2.535222e+00 -6.420402e-02
#>   [686] -1.404118e+00 -3.555389e+00 -5.292813e+00 -4.089835e+00 -3.517264e+00
#>   [691] -1.622395e-01 -5.260135e+00 -5.897371e+00 -8.049225e-01 -2.689401e+00
#>   [696] -2.116977e+00 -5.229074e-01 -5.510673e+00 -5.962728e+00 -6.781059e-01
#>   [701] -7.991079e-01 -7.291667e+00 -1.455181e+01 -1.589568e+00 -5.616819e-02
#>   [706] -1.469432e+00 -1.440599e+00 -6.875514e+00  2.927670e+00 -1.008072e+01
#>   [711] -3.824081e+00 -4.386315e+00 -5.832741e+00 -2.550649e+00 -2.420903e+00
#>   [716] -4.760184e+00 -3.785637e+00 -3.247433e+00 -1.443084e+00 -3.045605e+00
#>   [721] -2.236819e+00 -5.664346e-02 -1.238848e+00 -3.136908e+00 -4.669833e+00
#>   [726] -3.608450e+00 -2.103270e+00 -1.431398e-01 -4.641001e+00 -5.203233e+00
#>   [731] -7.101775e-01 -2.372849e+00 -1.867802e+00 -4.613581e-01 -4.862050e+00
#>   [736] -4.260897e+00 -5.982895e-01 -7.050493e-01 -6.433417e+00 -1.283902e+01
#>   [741]  4.007737e+02 -5.426247e-01  1.639461e+00 -5.016140e-01 -4.917711e-01
#>   [746] -2.347080e+00  1.150374e+01 -2.441236e+00 -1.305417e+00 -1.497346e+00
#>   [751] -1.991110e+00 -8.707074e-01 -8.264160e-01 -2.307710e+00 -1.292293e+00
#>   [756] -1.108567e+00 -2.111904e+00 -1.039670e+00 -3.273512e+00 -1.933247e-02
#>   [761] -8.130110e-01 -1.070837e+00  3.405870e+00 -5.280855e+00 -1.059355e+00
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