y_model: Specify a working model for a study variable y

In weightflow: Declarative API for Staged Survey Weights

Specify a working model for a study variable y

Description

Specify a working model for a study variable y

Usage

y_model(formula, engine = c("glm", "tree", "forest", "boost"), family = NULL)

Arguments

formula	full formula, e.g. income ~ sex + age_g.
engine	"glm", "tree" (rpart), "forest" (ranger) or "boost" (xgboost). The flexible learners run with fixed default settings (hyperparameters are not currently exposed): "tree"/"forest" use the 'rpart'/'ranger' defaults, and "boost" uses xgboost with nrounds = 150, max_depth = 4 and eta = 0.1.
family	for engine = "glm": "gaussian", "binomial" or "poisson". For tree/forest, regression vs classification is inferred from y.

Value

a model specification list.

Examples

y_model(income ~ age + sex, engine = "glm")

weightflow documentation built on July 23, 2026, 1:08 a.m.