Search found 4 matches
- Sat Oct 22, 2016 12:01 pm
- Forum: R2MLwiN user forum
- Topic: Confidence Intervals vs. Significant p-values
- Replies: 1
- Views: 4835
Confidence Intervals vs. Significant p-values
Hello all, I need to interpret a significant p-value that has a confidence interval (CI) for the estimate that crosses 0 (see below). Usually, I place more importance on CI. Knowing that MCMC was conducted in this model, should I place more importance on the CI or the p-value? MLwiN (version: 2.36) ...
- Wed Jun 08, 2016 6:06 pm
- Forum: R2MLwiN user forum
- Topic: Comparing two models
- Replies: 5
- Views: 7334
Re: Comparing two models
MLwiN calculates the DIC statistic (see chapter 2 of the MCMC guide - http://www.bristol.ac.uk/cmm/media/software/mlwin/downloads/manuals/2-36/mcmc-web.pdf ) for models fitted via MCMC. In R2MLwiN this is returned in the BDIC slot of the returned object (e.g. m.empty@BDIC). As described in this cha...
- Wed Jun 08, 2016 5:24 pm
- Forum: R2MLwiN user forum
- Topic: Comparing two models
- Replies: 5
- Views: 7334
Re: Comparing two models
Have you tried with deviance() ...? This manual says that the command "Returns the deviance from "mlwinfitIGLS" objects", which I guess is what you get using R2MLwiN. k. Hello, Yes, I tried the compare the models using the command you provided, but it didn't work. It seems that ...
- Tue Jun 07, 2016 9:05 pm
- Forum: R2MLwiN user forum
- Topic: Comparing two models
- Replies: 5
- Views: 7334
Comparing two models
Hello, I just run three models with R2MLwiN and I would like to compare each other. I have tied to find the command but I didn't find something that works. Could you please help me with that. Below you have the models: (m.empty <- runMLwiN(logit(EdPerform2c) ~ 1 + (1 | iID), D = "Binomial"...