te_parsnip_model-class: Fit Models using parsnip

In CAM-Roche/RandomisedTrialsEmulation: Causal Analysis of Observational Time-to-Event Data

Fit Models using parsnip

Description

The classes and (internal) methods defined for using parsnip to fit the weight models.

Usage

## S4 method for signature 'te_parsnip_model'
fit_weights_model(object, data, formula, label)

Arguments

object	The object determining which method should be used, containing any slots containing user defined parameters.
data	data.frame containing outcomes and covariates as defined in formula.
formula	formula describing the model.
label	A short string describing the model.

Functions

• fit_weights_model(te_parsnip_model): Fit the weight models object via calculate_weights on trial_sequence

Slots

model_spec

A model specification defined with the parsnip package.

See Also

Other model_fitter_classes: te_stats_glm_logit-class

CAM-Roche/RandomisedTrialsEmulation documentation built on April 14, 2025, 7:44 a.m.