tulpa_formula: Formula parsing for tulpa models
In tulpa: Templated Unified Library for Posterior Approximation in Bayesian Hierarchical Models
tulpa_formula R Documentation
Formula parsing for tulpa models
Description
Parses mixed-model formulas by walking the formula's abstract syntax tree.
R formulas are already parse trees – we do structural recursion to find
random effect terms (| nodes) and separate them from fixed effects.
Value
The formula helpers documented in this family return parsed-formula
structures (lists describing the fixed effects, random-effect terms, and
latent blocks); see each function's own help page.
tulpa documentation built on Oct. 19, 2026, 5:09 p.m.
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| tulpa_formula | R Documentation |
Formula parsing for tulpa models
Description
Parses mixed-model formulas by walking the formula's abstract syntax tree.
R formulas are already parse trees – we do structural recursion to find
random effect terms (| nodes) and separate them from fixed effects.
Value
The formula helpers documented in this family return parsed-formula structures (lists describing the fixed effects, random-effect terms, and latent blocks); see each function's own help page.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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