merTools
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jknowles
Convenience functions for working with merMod objects from lme4
Hi, I have trained a LMM of the form `y ~ 1 + (1|a) + (1|a:b) ` and now want to predict `y` for different inputs. All the inputs are...
The time has come to refactor `predictInterval`. It always should have been multiple functions since each piece of the prediction interval can be sampled independently. To help make future maintenance...
Via email: ``` Error in envRefInferField(x, what, getClass(class(x)), selfEnv) ‘family’ is not a valid field or method name for reference class “nlsResp” > traceback() 6: stop(gettextf("%s is not a valid...
predictInterval throws this error when there's more than one random effect term. The problem seems to be line 177 in merPredict.R. An example: I have 23 levels in a grouping...
Some headers are not formatted correctly. The graphic for comparing `predictInterval` to `bootMer()` no longer lines up with the text (the intervals do not cover for some reason).
Below follows a hypothetical but reproducible example to generate this error. In this example the model does not make any sense but in my case this model does but I...
Via @tjmahr I think you could use mcmc_areas_data() (on dev version) and ggridges::geom_ridge_density() to prototype something real fast
This will allow more direct comparison of random effects for users: ``` d_eff$Grouping_Factor
Using the two column model specification option for count and binomial models does not work with `averageObs` : ``` gm1
I find myself just almost exclusively exploring my merMods with `shinyMer()` ... perhaps the shinyMer landing page should be some model info including perhaps - summary of random effects (var/covariance...
