Residuals for a fitted spbp model.
Arguments
- object
an object of class `spbp` result of a
spbpfit.- type
type of residuals, default is "cox-snell"
- ...
arguments passed to parent method.
Examples
library("spsurv")
data("veteran", package = "survival")
#> Warning: data set ‘veteran’ not found
fit <- bpph(Surv(time, status) ~ karno + factor(celltype),
data = veteran
)
#> Priors are ignored because the MLE approach is used.
residuals(fit)
#> 1 2 3 4 5 6
#> 0.620334637 -0.679329712 -0.234048610 0.308399983 0.526262765 0.841029191
#> 7 8 9 10 11 12
#> 0.186346929 0.677308728 -1.300459443 -0.397601203 0.789628851 0.932051075
#> 13 14 15 16 17 18
#> -1.009648339 -0.064630340 0.962790227 0.695189767 -3.404637146 0.930077293
#> 19 20 21 22 23 24
#> 0.689295435 0.874108576 -2.616623762 -1.094740847 -0.756867712 -0.614331758
#> 25 26 27 28 29 30
#> 0.281660460 0.603497345 -1.364514192 0.781192000 0.676650138 0.612729492
#> 31 32 33 34 35 36
#> 0.388102193 0.141959054 0.498496118 0.801697989 0.593493731 -2.210630824
#> 37 38 39 40 41 42
#> 0.551266290 0.457355446 0.249594050 0.727787821 0.576320124 0.909342384
#> 43 44 45 46 47 48
#> 0.067014526 -7.392625961 0.821644125 0.605292280 -0.135654282 -0.002393252
#> 49 50 51 52 53 54
#> -0.075701973 -0.218952653 0.763451331 -0.497053257 0.893286488 0.137875639
#> 55 56 57 58 59 60
#> -0.840368880 0.334047249 -1.222847163 -2.290331695 -1.072333558 0.856511572
#> 61 62 63 64 65 66
#> -0.044392189 0.184553623 0.125055545 -0.546723072 0.568631920 0.573143125
#> 67 68 69 70 71 72
#> 0.581796474 -0.371809934 0.246546098 -1.302280181 0.671111935 -0.250955665
#> 73 74 75 76 77 78
#> -1.703546731 -0.779830126 -3.152854360 0.555748234 0.984582969 -2.413723403
#> 79 80 81 82 83 84
#> 0.154461629 0.589439993 0.584493665 -0.423047323 -0.054329325 0.410449410
#> 85 86 87 88 89 90
#> 0.993919628 0.892850807 0.778676554 0.401436574 0.904463779 0.364320970
#> 91 92 93 94 95 96
#> -0.856070501 0.279896655 0.680797157 0.026518187 0.965282645 0.498496118
#> 97 98 99 100 101 102
#> 0.770133915 0.759974190 0.179411411 0.959001099 0.484664369 0.515693574
#> 103 104 105 106 107 108
#> 0.816144308 0.214948901 -0.211775050 -0.375897410 0.453513073 0.331655252
#> 109 110 111 112 113 114
#> 0.507211361 -0.413243410 0.745701258 0.187398459 -0.512263533 0.169920590
#> 115 116 117 118 119 120
#> -0.204116468 0.844329967 0.592410143 -2.585066006 0.814878573 -0.764883830
#> 121 122 123 124 125 126
#> -0.254845468 0.245306287 0.617419049 -0.317587040 -1.474425602 0.630745490
#> 127 128 129 130 131 132
#> 0.080912834 0.683546494 0.622953738 0.753130602 0.700049401 -0.373301618
#> 133 134 135 136 137
#> 0.361890596 0.158143324 -0.273187729 -0.549041344 0.122747302