Mixed Model Anova Table (Type 3 tests, S-method)
Model: log_rt ~ task * stimulus * density * frequency + (stimulus *
Model:     density * frequency | id) + (task | item)
Data: fhch

boundary (singular) fit: see ?isSingular

Mixed Model Anova Table (Type 3 tests, S-method)
Model: log_rt ~ task * stimulus * density * frequency + (stimulus *
Model:     density * frequency | id) + (task || item)
Data: fhch

Mixed Model Anova Table (Type 3 tests, S-method)
Model: log_rt ~ task * stimulus * density * frequency + (stimulus *
Model:     density * frequency || id) + (task | item)
Data: fhch

Mixed Model Anova Table (Type 3 tests, S-method)
Model: log_rt ~ task * stimulus * density * frequency + (stimulus *
Model:     density * frequency || id) + (task || item)
Data: fhch

Mixed Model Anova Table (Type 3 tests, S-method)
Model: log_rt ~ task * stimulus * density * frequency + ((stimulus +
Model:     density + frequency)^2 || id) + (task || item)
Data: fhch

Mixed Model Anova Table (Type 3 tests, S-method)
Model: log_rt ~ task * stimulus * density * frequency + (stimulus +
Model:     density + frequency || id) + (task || item)
Data: fhch

Mixed Model Anova Table (Type 3 tests, S-method)
Model: log_rt ~ task * stimulus * density * frequency + (stimulus +
Model:     frequency || id) + (task || item)
Data: fhch

Mixed Model Anova Table (Type 3 tests, S-method)
Model: log_rt ~ task * stimulus * density * frequency + (stimulus +
Model:     frequency | id) + (task || item)
Data: fhch

Model failed to converge with max|grad| = 0.00347544 (tol = 0.002, component 1)

Mixed Model Anova Table (Type 3 tests, S-method)
Model: log_rt ~ task * stimulus * density * frequency + (stimulus +
Model:     frequency || id) + (task | item)
Data: fhch

Mixed Model Anova Table (Type 3 tests, LRT-method)
Model: log_rt ~ task * stimulus * density * frequency + (stimulus +
Model:     frequency || id) + (task || item)
Data: fhch
Df full model: 22

Data: data
Models:
fits[[c]]: log_rt ~ 0 + m.matrix[, -2L] + (1 + re1.stimulus1 + re1.frequency1 ||
fits[[c]]:     id) + (1 + re2.task1 || item)
full_model: log_rt ~ task * stimulus * density * frequency + (1 + re1.stimulus1 +
full_model:     re1.frequency1 || id) + (1 + re2.task1 || item)