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Implement a parametric method for GLM PIs

2

Currently we simulate from the model using a parametric bootstrap. We showed in the GLM vignette that this is valid if the model is "true", and the simulation is still...

jthaman

Hi. When I try to run add_ci with a glmerMod, I get the following error: Error in `[.data.frame`(fr, vars) : undefined columns selected After tracing and running in debug, it...

YoJimboDurant

Error with add_ci() fed with a glmer(...,family=Gamma) model

3

Dear John, I am running GLMM models with `family=Gamma` and I want to use `add_ci()` to compute confidence intervals around predictions (many thanks for developing this by the way).Unfortunately, `add_ci()`...

NicolasDeguines

Trying `add_ci` on a model with a formula involving `I(...)`, i.e. ``` library(ciTools) library(lme4) data

andercolin

Beta regression is a good alternative to binomial regression when the number of trials is unknown. I would like to support this model!

jthaman

Some users don't fit mixed models!

jthaman

Add nls

4

I've done some work in the past with CI's and PI's for non linear regression using the `propagate` package. Would you be interested in receiving a PR to add `nls`...

wmurphyrd

Support gam and scam models?

5

Was also wondering if it would be hard to also support mgcv::gam (generalized additive models) and scam (shape constrained additive models) models? The recipe to calculate confidence and prediction intervals...

tomwenseleers

I'm finding that we cannot use add_ci.lmer for "big data". I tried an example from the mermod vignette with 200,000 observations and found that R couldn't put the new data...

jthaman

Support gls models?

3

Would it also be possible for the package to support confidence and prediction intervals for gls models?

tomwenseleers