Displaying 2 results from an estimated 2 matches for "logistic_model".
2011 May 01
1
caret - prevent resampling when no parameters to find
I want to use caret to build a model with an algorithm that actually has no
parameters to find.
How do I stop it from repeatedly building the same model 25 times?
library(caret)
data(mdrr)
LOGISTIC_model <- train(mdrrDescr,mdrrClass
,method='glm'
,family=binomial(link="logit")
)
LOGISTIC_model
528 samples
342 predictors
2 classes: 'Active', 'Inactive'
Pre-processing: None
Resampling: B...
2013 Jan 29
1
starting values in glm(..., family = binomial(link = log))
Dear R-helpers,
i have a problem with a glm-model. I am trying to fit models with the log as link function instead of the logit. However, in some cases glm fails to estimate those models and suggests to give start values. However, when I set start = coef(logistic_model) within the function call, glm still says it cannot find starting values? This seems to be more of a problem, when I include a continous predictor in the model (age instead of group). find below a minimal example.
Do I need to set other/better starting values? I would greatly appreciate any hints!...