Function to obtain the naive subgroup treatment effects of an object fitted
with the naive function.
Usage
# S3 method for class 'naive'
summary(object, conf = 0.95, ...)Value
Object of class summary.elastic_net which is a list with a
data.frame with 4 columns (the subgroup variables, the estimated
treatment effect and the low and high bounds of the confidence interval of the
treatment effect), the resptype and the confidence level.
Examples
summary(naive_fit_surv)
#> subgroup trt.estimate trt.low trt.high
#> 1 x_1a 0.6741880 0.4693783 0.9683648
#> 2 x_1b 0.6645867 0.4663568 0.9470762
#> 3 x_2a 0.7087873 0.4743926 1.0589952
#> 4 x_2b 0.6424496 0.4636818 0.8901394
#> 5 x_3a 0.5054825 0.3003642 0.8506759
#> 6 x_3b 0.7168399 0.5365623 0.9576884
#> 7 x_4a 0.6213593 0.4133445 0.9340571
#> 8 x_4b 0.5428680 0.3372320 0.8738959
#> 9 x_4c 0.8575696 0.5483543 1.3411505
#> 10 x_5a 1.0714912 0.5843316 1.9647978
#> 11 x_5b 0.3981145 0.1911053 0.8293607
#> 12 x_5c 0.5966367 0.3719363 0.9570869
#> 13 x_5d 0.6818581 0.4569275 1.0175148
#> 14 x_6a 0.7500611 0.4833380 1.1639715
#> 15 x_6b 0.6203688 0.4551697 0.8455251
#> 16 x_7a 0.4884324 0.3137099 0.7604677
#> 17 x_7b 0.7883981 0.5775406 1.0762388
#> 18 x_8a 0.5723798 0.3253240 1.0070535
#> 19 x_8b 0.5663128 0.3505993 0.9147486
#> 20 x_8c 0.7809059 0.5485165 1.1117516
#> 21 x_9a 0.4616452 0.2454835 0.8681493
#> 22 x_9b 0.7164771 0.5426620 0.9459653
#> 23 x_10a 0.6844865 0.3818088 1.2271109
#> 24 x_10b 0.7063065 0.4515212 1.1048625
#> 25 x_10c 0.6366207 0.4435313 0.9137708