Pakillo LM-GLM-GLMM-intro issues

Pakillo / LM-GLM-GLMM-intro

A unified framework for data analysis with GLM/GLMM in R

http://pakillo.github.io/LM-GLM-GLMM-intro/

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issues

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Centering in multilevel models

#54 Pakillo opened 1 month ago
0
Decomposing variance explained for Gaussian mixed models

#53 Pakillo opened 1 month ago
0
Checking model assumptions visually

#52 Pakillo opened 8 months ago
0
GLM binomial: cross-validation y evaluar predicciones

#51 Pakillo opened 8 months ago
1
GLM binomial: interpret coefficients as odd ratios

#50 Pakillo opened 8 months ago
0
Multinomial and ordinal regression

#49 Pakillo opened 9 months ago
0
Explain centering of continuous predictors

#48 Pakillo opened 10 months ago
0
GLM binomial: change UN example to another with overdispersion

#47 Pakillo opened 10 months ago
0
Use modelsummary

#46 Pakillo closed 10 months ago
0
Use Firth's approach for binomial GLM?

#45 Pakillo opened 10 months ago
0
Use {marginaleffects}

#44 Pakillo closed 10 months ago
2
Explain S values to interpret p-values

#43 Pakillo opened 1 year ago
1
More examples for binomial GLM

#42 Pakillo opened 1 year ago
1
Improve visualisation of binomial glm

#41 Pakillo opened 1 year ago
1
Add dabestr visualisations to interpret effect sizes

#40 Pakillo opened 2 years ago
0
Centering predictors can change significance of effects in models with interactions

#39 Pakillo opened 2 years ago
0
Add average predictive comparisons

#38 Pakillo opened 2 years ago
0
Table 2 fallacy

#37 Pakillo opened 2 years ago
0
Emphasize distribution notation (y ~ N(mu, sigma), y ~ Bin(N, p), y ~ Pois(lambda)) etc over y = a + bx

#36 Pakillo opened 3 years ago
0
Use Beta1, Beta2, Beta3 etc rather than alpha, beta, gamma, for parameters?

#35 Pakillo closed 10 months ago
0
Convergence problems

#34 Pakillo opened 4 years ago
0
Visualising shrinkage in mixed models

#33 Pakillo opened 4 years ago
0
Use equatiomatic to display model structure

#32 Pakillo closed 3 years ago
1
Use modelStudio or easystats to examine fitted models

#31 Pakillo closed 2 years ago
0
Use performance::check_model to visualise model checks

#30 Pakillo closed 3 years ago
1
show `report` pkg to describe model structure and results

#29 Pakillo closed 3 years ago
1
add visreg with ggplot output

#28 Pakillo closed 3 years ago
1
replace 'plot' by 'site' in trees dataset and code

#27 Pakillo closed 5 years ago
0
Mixed models: add example fitting via mgcv

#26 Pakillo opened 5 years ago
0
Mixed models: add Poisson glmer example

#25 Pakillo opened 5 years ago
0
GLM binomial: include calibration plot (obs -pred)

#24 Pakillo closed 2 years ago
0
Binomial GLM: include odds ratio interpretation?

#23 Pakillo closed 3 years ago
0
paperplanes: add distance ~ paper+gender and ~paper*gender at the end of lm module

#22 Pakillo opened 5 years ago
0
ggResidpanel: Residual plots with ggplot!

#21 Pakillo closed 5 years ago
1
Include info on how to present results from fitted models

#20 Pakillo closed 3 years ago
0
Add more examples of Poisson regression

#19 Pakillo closed 5 years ago
0
Add example of lm with interaction (dbh * plot) before logistic regression

#18 Pakillo closed 5 years ago
0
Add link to Bolker's GLMM FAQ

#17 Pakillo closed 5 years ago
1
Create lm module based on paperplanes dataset

#16 Pakillo closed 6 years ago
0
calibration plots: use observed ~ predicted rather than pred ~ obs

#15 Pakillo closed 6 years ago
0
Mixed models: add sleep example, showing shrinkage

#14 Pakillo opened 6 years ago
0
Add slides on predicting from mixed model

#13 Pakillo opened 6 years ago
1
In glms, try to include link function explicitly (family=binomial(link=logit)) for better understanding

#12 Pakillo closed 6 years ago
0
Include more info about nested and crossed random effects

#11 Pakillo opened 6 years ago
0
Include R-squared for GLM and GLMM

#10 Pakillo closed 6 years ago
0
sjPlot: change `sjp.lmer` and `sjp.glmer` to `plot_model`

#9 Pakillo closed 3 years ago
1
Modularize slides in components, use Rmd child documents

#8 Pakillo closed 6 years ago
1
Substitute `iris` with another dataset, e.g. mammal sleep (ggplot2) or paperplanes

#7 Pakillo closed 6 years ago
0
Use DataCamp courses?

#6 Pakillo closed 3 years ago
0
interesting datasets

#5 Pakillo opened 7 years ago
1