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68
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Controlling for variation in results of xGBoost cross validation
I am finding the nrounds that the cross validation for xgboost returns are highly variable. This of course translates to models with varying performance. This is especially a problem when I compare ...
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1
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53
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Issue with including a quadratic term into a GLM quasi-poisson
I am currently looking at country-wide population ‘censuses’ that were conducted by feeding vultures at
all restaurant sites simultaneously. Simultaneous census counts were conducted twice in June
...
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1
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175
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Vuong test for non-nested linear mixed-effect regession model (lme4), using the nonnest2 library
I would like to compare a pair of non-nested models that I fit using lme4 in R.
I would like to apply the Vuong test (1989) for that.
It seems like the nonnest2 package is the only one that supports ...
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1
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529
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Is it possible to include interaction terms without main effects in the MuMIn::dredge function?
I am doing some model comparison with a glmer fit with lme4. My global model has 4 fixed effects and 1 random effect, plus interactions between 3 of the fixed effects:
response ~ a + b * c * d + (1|e)
...
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114
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Power analysis: Model comparison with LRT in R
Any suggestions on how to best implement a power analysis in R when having a binomial generalized linear mixed model (glmm) with 2 categorical predictors as fixed effects (2 levels and 8 factor levels)...
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1
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115
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Using Vuong Test for SEM with MLM;MLR (robust estimator) / under non normality
I have two strict non-nested models that I would like to compare. However, the normal distribution assumption is violated, so the models were calculated with a robust estimator (MLR).
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0
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1
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2k
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Model comparison for glmmTMB objects with beta family
We are performing a beta mixed-effects regression analysis using glmmTMB package, as shown below:
mod = glmmTMB::glmmTMB(data = data,
formula = rating ~ par1 + par2 + par3 +
...
4
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0
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679
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How to compare GAMs that include random effects and factors?
I am trying to make a model comparison (say, for hypothesis testing) of two GAMs (mgcv package),
where both models include random effects smooth term (s(bs="re")), and the
second model ...
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2
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667
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Comparing mixed models: singular fit for random effect group but only in some models. Should I drop RE group from all models or just where singular?
I am fitting several mixed models using the lmer function in the package lme4, each with the same fixed effects and random effects, but different response variables. The purpose of these models is to ...
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1
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530
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Subsetting in Dredge (MuMln)- avoiding a three way interaction
I have a model with several main effects and several interactions. I want to avoid any models that would only include the 3 interaction terms. So basically all variations of main effects and main ...
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0
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437
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(Wald)Test for comparing two nested feols/plm models
I want to test if
model_1 <- feols(auth ~ dummy_past1 + dummy_past2 + dummy_past3
| region + date_f, # Fixed Effects
data=df)
is just as good as
model_2 <- feols(auth ~ i(dummy_past1,...
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0
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149
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Model comparison from the results from the mixed() function of the afex package
I am new to R and lmer. We have a project examining the effects of mimicking others’ voice (mimicry vs nonmimicry, a between-subjects fixed effect) , modality (reading vs listening, a within-subjects ...
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110
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loader constraint violation when launching an EMF compare comparison(and proper tools for model comparison.)
I'd like some insight on a couple of topics :"EMF compare" and "model to model comparison" in general.
I am trying to achieve a comparison between two XMI models, which are ...
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1
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436
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Is it appropriate to compare gamm (mgcv) models to get an interaction effect and how to do it?
I want to know if the development of volume over time (and I mean age, not waves) is different between groups. I also have some covariates. I made a simulation dataset:
library(simstudy)
def <- ...
-1
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1
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1k
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How to compare two deep learning models performance?
I'm new to deep learning so if the question doesn't make sense plz correct me.
In traditional machine learning I know how to compare models and choose one of the as the best with the metrics I choose.
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