For questions relating to generalized linear models.
Here are all the variables I'm working with: str(ad.train) $ Date : Factor w/ 427 levels "2012-03-24","2012-03-29",..: 4 7 12 14 19 21 24 29 31 34 ... $ Team : …
r regression lm glm r-faqI am using the twang package to create propensity scores, which are used as weights in a binomial glm using …
r glmI'm running many regressions and am only interested in the effect on the coefficient and p-value of one particular variable. …
r glm p-valueIn R predict.lm computes predictions based on the results from linear regression and also offers to compute confidence intervals …
r statistics glm confidence-intervalI have 50 variables. This is how I use them all in my glm. var = glm(Stuff ~ ., data=mydata, family=binomial) …
r statistics glmI did a glm and I just want to extract the standard errors of each coefficient. I saw on the …
r extract glm standard-errorHere are some data dat = data.frame(y = c(9,7,7,7,5,6,4,6,3,5,1,5), x = c(1,1,2,2,3,3,4,4,5,5,6,6), color = rep(c('a','b'),6)) and the plot of …
r statistics glm confidence-interval mixed-modelsI have some data with predictors and a binary target. Eg: df <- data.frame(a=sort(sample(1:100,30)), b= …
r glm predict logistic-regression