Residuals of galamm objects
Arguments
- object
An object of class
galammreturned fromgalamm.- type
Character of length one describing the type of residuals to be returned. One of
"pearson"and"deviance". Argument is case sensitive.- ...
Optional arguments passed on to other methods. Currently not used.
See also
fitted.galamm() for model fitted values, predict.galamm() for
model predictions, and plot.galamm() for diagnostic plots. The generic
function is residuals().
Other details of model fit:
VarCorr(),
coef.galamm(),
confint.galamm(),
deviance.galamm(),
factor_loadings.galamm(),
family.galamm(),
fitted.galamm(),
fixef(),
formula.galamm(),
llikAIC(),
logLik.galamm(),
nobs.galamm(),
predict.galamm(),
print.VarCorr.galamm(),
ranef.galamm(),
sigma.galamm(),
vcov.galamm()
Examples
# Poisson GLMM
count_mod <- galamm(
formula = y ~ lbas * treat + lage + v4 + (1 | subj),
data = epilep, family = poisson
)
# Extract residuals
residuals(count_mod)
#> [1] 0.75134825 -0.30588389 -0.30588389 -0.02647642 -0.29969105 0.75942563
#> [7] -0.29969105 -0.02030696 -0.31982773 0.94348448 -1.58313993 1.96255720
#> [13] 0.43844044 0.43844044 -1.23495860 0.76431835 -1.92290673 0.98985619
#> [19] -1.39331347 2.54290384 -0.37901975 -1.61176436 0.85372485 0.87239664
#> [25] 1.53250415 0.42157251 -1.80029078 -0.45686210 3.20970074 -0.85522137
#> [31] -0.24548305 -1.89587259 -0.37109232 0.04054904 0.04054904 -0.01046534
#> [37] 2.32295391 1.96014958 -0.57948072 -2.54300871 2.19282080 -1.20593505
#> [43] -2.66254471 1.98848496 1.50225502 -0.64560897 0.07034569 -1.02528638
#> [49] -0.11018739 -0.11018739 0.86264510 -0.84232934 -1.20333646 -0.60001269
#> [55] 0.30497297 1.51905875 0.11484915 2.14376752 -1.40683963 -1.16387436
#> [61] 2.65545389 -2.24478741 -2.24478741 0.34313328 -1.52938364 -1.52938364
#> [67] 0.43219090 0.71507238 0.93383050 -0.48618501 -0.66368695 0.38154208
#> [73] -0.56482022 0.41685518 -1.05565792 0.78036317 -0.61348596 -2.06574589
#> [79] 0.83877398 1.76694279 -0.32319792 0.20279343 -0.32319792 0.52638912
#> [85] -0.15886014 0.39262021 -0.15886014 0.71796768 -0.88312263 -0.36313065
#> [91] -0.36313065 1.04374857 0.11210337 1.55462045 -2.05167224 0.56867360
#> [97] -3.01755708 -2.01950534 6.63027648 -1.03914103 -0.02145063 -0.72321509
#> [103] -0.02145063 -0.55408107 0.27795300 -0.97310964 0.90348433 -0.11893239
#> [109] -0.13340625 0.41112684 -0.13340625 0.15259422 -0.06770284 0.82764610
#> [115] -0.66460214 -0.50349772 0.20892340 -0.15792875 0.57577555 -0.92446003
#> [121] -1.46575702 1.26320826 0.58096694 -1.35232878 0.10795686 1.89482700
#> [127] -1.08328990 0.38775621 -1.16421688 0.73022624 1.20383702 0.10529799
#> [133] 0.46538682 -0.09615929 -1.21925153 0.18294961 0.90033033 -0.27288190
#> [139] 0.19640299 0.13717193 0.17355958 -0.29134663 1.10337200 0.03108554
#> [145] -0.20516397 1.11018319 -1.52051113 1.44850131 -1.49633342 0.02175214
#> [151] 0.02175214 0.44848458 -1.29984938 3.78574203 -2.02636244 -0.57121746
#> [157] 0.95126708 -0.03257705 -0.03257705 -0.93776498 -1.46467211 -0.09917878
#> [163] 1.26631454 -1.35132783 1.17204252 0.59252146 -1.72556281 0.29235793
#> [169] -1.34839757 -0.60923644 2.10102101 0.26122160 1.25864008 -0.66816476
#> [175] -1.43888670 0.94731198 2.83566561 -0.95477231 -1.27064214 -0.52432300
#> [181] -0.35539104 -0.35539104 0.48257860 1.62375415 -0.76701612 0.63019867
#> [187] -0.06840872 0.38751946 0.77476967 -0.15207809 -1.07892584 -0.99543270
#> [193] 2.75568498 -1.44160278 -0.64752131 -0.38687286 0.21353124 -0.31387209
#> [199] -0.84127542 0.53720677 0.39735678 -0.36116194 -0.74042129 0.44481689
#> [205] -1.29929849 -0.21360713 -1.29929849 1.24229858 0.06700104 -1.59599420
#> [211] 2.44270852 -0.53607134 1.14333078 -0.40015859 0.11433786 -1.79323794
#> [217] -0.35757659 0.68406717 0.16324529 -0.07793957 -3.19183238 3.13136837
#> [223] 1.98169550 -0.71780112 -0.15016611 0.52039502 -1.49128836 -0.64907910
#> [229] -0.98405084 -0.98405084 -0.98405084 -0.90789964 -0.94826426 0.94946156
#> [235] 0.31688629 -0.08723898