### glmnet_fit1
myglance(glmnet_fit1)
stepx <- c(2,10) # Select subset of `step` vector
mytidy(glmnet_fit1) %>% filter(step %in% stepx)
mytidy(glmnet_fit1) %>% filter(step %in% stepx) %>% unnest(beta)
### glmnet_fit3
stepx <- 5
myglance(glmnet_fit3)
mytidy(glmnet_fit3) %>% filter(step %in% stepx)
mytidy(glmnet_fit3) %>% filter(step %in% stepx) %>%
unnest(beta)
### glmnet_fit3a
stepx <- 3
myglance(glmnet_fit3a)
mytidy(glmnet_fit3a) %>% filter(step %in% stepx)
mytidy(glmnet_fit3a) %>% filter(step %in% stepx) %>%
unnest(beta)
### glmnet_fit_cox
stepx <- c(3,5)
myglance(glmnet_fit_cox)
mytidy(glmnet_fit_cox) %>% filter(step %in% stepx)
### cvglmnet_fit_cox
stepx <- c(3,5)
(myg5 <- myglance(cvglmnet_fit_cox))
mytidy(cvglmnet_fit_cox) %>% filter(step %in% stepx)
pred_cox <- predict(cvglmnet_fit_cox, newx = newx_cox, lambda = myg5[,"index_1se"], type = "response")
pred_cox
## save(glmnet_fit3a, file="ex1-glmnet.Rdata")
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