regression_model: Sample Eta given regression-splines individual-level model

In deruncie/MegaLMM: MegaLMM

Sample Eta given regression-splines individual-level model

Description

Eta is a matrix of individual-level parmaters for a regression-spline with equivalent knots over all individuals

Usage

regression_model(observation_model_parameters, MegaLMM_state = list())

Arguments

observation_model_parameters	a list including: 1) observations, a data.frame with observation-level data including columns ID and Y 3) individual_model the model that should be applied to the data for each ID.
MegaLMM_state	The current MegaLMM_state. For initialization, can be a list with data_matrices = list(data=data) Where data contains ID for ordering.

Details

This function should pre-calculate design matrices for each individual (assuming they are all unique). During sampling, should sample regression coefficients Eta given the factor model state. Set up to allow for non iid errors, but currently not implemented.

deruncie/MegaLMM documentation built on June 10, 2025, 7:26 p.m.