========================================================================================== | Bayesreg: Bayesian Penalised Regression Estimation ver. 1.1 | | (c) Daniel F Schmidt, Enes Makalic. 2016-9 | ========================================================================================== Bayesian logistic horseshoe regression Number of obs = 3065 Number of vars = 57 MCMC Samples = 100000 Log. Likelihood = -566.35 MCMC Burnin = 1000 Pseudo R2 = 0.7250 MCMC Thinning = 1 WAIC = 626.02 -------------+---------------------------------------------------------------------------- Parameter | med(Coef) std(OR) [95% Cred. Interval] tStat Rank ESS % -------------+---------------------------------------------------------------------------- make | -0.03533 0.06490 -0.19245 0.06379 -0.700 51 * 22.1 address | -0.16197 0.10840 -0.43215 -0.00602 -1.629 34 ** 8.8 all | 0.08149 0.07400 -0.03993 0.23921 1.163 44 * 18.9 X3d | 0.97852 1.70753 0.00571 6.43928 0.923 16 ** 0.4 our | 0.26284 0.07439 0.12247 0.41497 3.557 22 ** 28.4 over | 0.26692 0.09162 0.09047 0.45152 2.924 24 ** 17.0 remove | 0.94316 0.16417 0.64842 1.28981 5.784 8 ** 9.7 internet | 0.28813 0.09038 0.13413 0.48696 3.254 19 ** 19.2 order | 0.26807 0.11187 0.04242 0.48381 2.384 25 ** 1.1 mail | 0.04805 0.05012 -0.03216 0.16010 1.038 49 * 25.9 receive | -0.03189 0.07029 -0.19667 0.08400 -0.599 51 23.7 will | -0.13676 0.08046 -0.30379 0.00322 -1.729 37 * 16.9 people | -0.01279 0.07239 -0.18126 0.11885 -0.300 54 27.8 report | 0.00742 0.06424 -0.12287 0.14440 0.175 54 40.0 addresses | 0.07610 0.14980 -0.12404 0.46188 0.716 44 * 8.2 free | 0.99740 0.15203 0.71678 1.31071 6.587 11 ** 14.6 business | 0.57604 0.13194 0.32880 0.84517 4.383 14 ** 1.1 email | 0.02084 0.06290 -0.08869 0.16722 0.466 54 25.5 you | 0.25465 0.07640 0.10271 0.40240 3.326 22 ** 27.5 credit | 0.32233 0.25727 -0.00726 0.95907 1.409 31 * 4.2 your | 0.23153 0.07758 0.07833 0.38424 2.984 25 ** 25.3 font | 0.26113 0.19641 -0.01783 0.72586 1.439 31 * 3.7 X000 | 0.71218 0.19609 0.37858 1.14547 3.698 13 ** 6.5 money | 0.20959 0.09820 0.04995 0.43661 2.227 33 ** 18.4 hp | -3.60117 0.59276 -4.83907 -2.52162 -6.107 2 ** 2.4 hpl | -0.15957 0.25314 -0.83132 0.12439 -0.863 39 * 5.8 george | -64.70541 8.70352 -79.07212 -43.90091 -7.345 1 ** 0.0 X650 | -0.04253 0.16997 -0.49576 0.19896 -0.471 46 13.6 lab | -0.82823 0.77218 -2.88184 0.00506 -1.278 14 * 1.1 labs | -0.01928 0.17205 -0.46577 0.26230 -0.283 46 17.0 telnet | 0.00269 0.30557 -0.70984 0.62390 -0.003 42 10.6 X857 | 0.02514 0.55467 -0.88195 1.55549 0.208 39 4.2 data | -0.26856 0.17889 -0.68574 -0.00099 -1.605 28 ** 5.7 X415 | -0.01912 0.73529 -2.24795 0.92428 -0.227 39 1.5 X85 | -0.28391 0.38051 -1.33081 0.03447 -1.022 36 * 3.2 technology | 0.28267 0.16842 -0.01564 0.61234 1.671 27 * 11.6 X1999 | 0.01435 0.07079 -0.11750 0.17571 0.319 54 33.3 parts | -0.18424 0.17199 -0.66896 -0.00045 -1.309 34 ** 9.2 pm | -0.47252 0.21694 -0.96532 -0.11303 -2.253 17 ** 8.8 direct | -0.00403 0.13177 -0.31090 0.24747 -0.105 49 20.4 cs | -3.19605 5.82728 -21.91446 -0.02388 -0.920 7 ** 0.1 meeting | -1.70899 0.71749 -3.45501 -0.67473 -2.512 5 ** 0.8 original | -0.39010 0.24379 -0.96269 -0.02932 -1.713 18 ** 5.6 project | -0.97943 0.45743 -2.07298 -0.29508 -2.257 12 ** 2.7 re | -0.84136 0.19183 -1.24475 -0.49367 -4.426 9 ** 8.5 edu | -1.77672 0.42728 -2.72864 -1.06404 -4.232 5 ** 2.7 table | -0.12898 0.13079 -0.45033 0.03597 -1.140 42 * 10.7 conference | -1.08151 0.53394 -2.34122 -0.27793 -2.140 9 ** 2.0 ch. | -0.30040 0.13559 -0.62021 -0.09141 -2.321 20 ** 6.3 ch..1 | -0.07959 0.09599 -0.30998 0.05373 -0.976 46 * 16.6 ch..2 | -0.04005 0.07710 -0.25363 0.04344 -0.767 51 * 14.3 ch..3 | 0.18256 0.06291 0.07163 0.32128 2.959 29 ** 24.8 ch..4 | 1.66934 0.24843 1.21415 2.18361 6.751 4 ** 6.3 ch..5 | 0.47921 0.44211 -0.03702 1.51270 1.244 20 * 1.8 crl.ave | 0.12620 0.56676 -0.46042 1.81903 0.549 38 0.9 crl.long | 2.67295 0.60072 1.42904 3.76925 4.419 2 ** 0.7 crl.tot | 0.23470 0.14389 0.00770 0.56465 1.722 29 ** 1.3 _cons | -16.61868 2.09895 -20.08681 -11.64032 . . . -------------+----------------------------------------------------------------------------