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Related Issues (20)
- Installation of multilevelmod fails HOT 4
- Release multilevelmod 0.2.0 HOT 1
- bug in when using there is mismatch between number of labels in training and testing data set. HOT 4
- Require glmmLasso model HOT 2
- Release multilevelmod 1.0.0 HOT 1
- Incorrect predictions from fit_resamples() when applied to lmer model HOT 2
- New model request: gpboost Tree-Boosting with Gaussian Process and Mixed Effects Models HOT 3
- extracting parameter sets of MCMC iterations from `model_fit` object HOT 3
- New model request: glmmLasso HOT 1
- New model request: Mixed effect random forest (MERF) HOT 6
- Are multinom_reg() models supported? HOT 5
- Upkeep for multilevelmod 2023 HOT 1
- Use cli errors
- Default prediction mode for lmer - re.form = NA HOT 3
- Use rlang type-checkers
- Combining Feature selection and mixed effects models: Error in eval(predvars, data, env): object ' ' not found HOT 4
- `logistic_reg(engine = "gee")` doesn't support dot in formula
- New Model Request: a spatial multilevel model HOT 1
- Linear Quantile Mixed Model (lqmm) HOT 1
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