store_random_var: Store the variance of the random effects

In L-Ippel/SEMA: Streaming Expectation Maximization Approximation

Description

This function extracts the variance of the random effects and saves them in a data frame with the number of data points seen so far.

Usage

store_random_var(object)

Arguments

object

The sema output, a list containing the model parameters. ## First we create a dataset, consisting of 2500 observations from 20 ## units. The fixed effects have the coefficients 1, 2, 3, 4, and 5. The ## variance of the random effects equals 1, 4, and 9. Lastly the ## residual variance equals 4: test_data <- build_dataset(n = 2500, j = 20, fixed_coef = 1:5, random_coef_sd = 1:3, resid_sd = 2) ## Next, we fit a simple model to these data m1 <- sema_fit_df(formula = y ~ 1 + V3 + V4 + V5 + V6 + (1 + V4 + V5 | id), data_frame = test_data, intercept = TRUE) ## to subtract the variance of the random effects from the m1 object: store_random_var(m1)

Value

A data frame with the number of observations and the random effects variance.

See Also

ranef, fixef, store_fixed_coef, store_resid_var

L-Ippel/SEMA documentation built on May 30, 2019, 8:23 a.m.