gaussian_example: Simulated Data of a Gaussian Response

In santikka/dynamite: Bayesian Modeling and Causal Inference for Multivariate Longitudinal Data

Simulated Data of a Gaussian Response

Description

Simulated data containing a Gaussian response variable y with two covariates. The dataset was generated from a model with time-varying effects of covariate x and the lagged value of the response variable, time-varying intercept, and time-invariant effect of covariate z. The time-varying coefficients vary according to a spline with 20 degrees of freedom.

Usage

gaussian_example

Format

A data frame with 3000 rows and 5 variables:

y

The response variable.

x

A continuous covariate.

z

A binary covariate.

id

Variable defining individuals (1 to 50).

time

Variable defining the time point of the measurement (1 to 30).

Source

The data was generated via gaussian_example.R in https://github.com/ropensci/dynamite/tree/main/data-raw/

See Also

Example models categorical_example, categorical_example_fit, gaussian_example_fit, multichannel_example, multichannel_example_fit

santikka/dynamite documentation built on April 17, 2025, 11:47 a.m.