Description Usage Arguments Value See Also Examples
This function extracts the residual variance and saves it in a data frame with the number of data points seen so far.
1 | store_resid_var(object)
|
object |
The sema output, a list containing the model parameters. |
A data frame with the number of observations and the residual variance.
ranef
, store_fixed_coef
,
store_random_var
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 | ## 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 residual variance from the m1 object:
store_resid_var(m1)
|
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.