Displaying 2 results from an estimated 2 matches for "g4373".
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4373
2009 Mar 18
3
Extreme AIC or BIC values in glm(), logistic regression
...pt) 4.883e+14 1.671e+07 29217415 <2e-16 ***
g761 -5.383e+14 9.897e+07 -5438529 <2e-16 ***
g2809 -1.945e+15 1.082e+08 -17977871 <2e-16 ***
g3106 -2.803e+15 9.351e+07 -29976674 <2e-16 ***
g4373 -9.272e+14 6.534e+07 -14190077 <2e-16 ***
g4583 -2.279e+15 1.223e+08 -18640563 <2e-16 ***
g761:g2809 -5.101e+14 4.693e+08 -1086931 <2e-16 ***
g761:g3106 -3.399e+16 6.923e+08 -49093218 <2e-16 *...
2009 Mar 26
1
Extreme AIC in glm(), perfect separation, svm() tuning
...does help! It stabilize
the AIC, and the classification power is better.
Code and output: (need to install package: brglm)
matrix <- read.table("http://ihome.ust.hk/~haitian/sample.txt")
names(matrix)<- c("g0","g761","g2809","g3106","g4373","g4583")
fo <- as.formula(g0 ~ g761 * g2809 * g3106 * g4373 * g4583)
library(MASS)
library(brglm)
lr <- brglm(formula= fo, family=binomial(link=logit), data=matrix)
summary(lr)
Coefficients:
Estimate Std. Error z value Pr(>|z|)
(Intercept)...