Dear all,
Using longitudinal data at prefecture level, I conducted multilevel analyses with a random-intercept(prefecture) using menbreg command. I would like to identify autoregressive covariance, but menbreg command has no options about that, whereas "mixed", linear-regression model has. The covariance() options for menbreg seems for no meaning if the model contains one random intercept. Could you please tell me how I can take correlation structure into a generalized mixed model?
Sincerely,
Mariko
Related Posts with Covariance structure in generalized mixed models
Getting selected variables from cvlassoMy read of "help cvlasso" is that e(varXmodel) should contain only variables chosen by cvlasso. Howe…
Spatial Panel Data and Spatial Weight MatrixHi all, I use Stata 17 to create a spatial panel dataset of more than 3000 US counties and 5 time p…
combine Several observations to one observation in a given yearDear all, I need to get the SUM of Var 1. for each ID observation in 2016, for example, A person w…
Create change variable for timeseries data.Hi, my problem is twofold. I downloaded a database containing gvkey, sic code, year (1995 - 2005), y…
How to do a special histogram like this in Stata?Hello, I saw a histogram by group like below. I want to use the classical Stata data auto.dta to mim…
Subscribe to:
Post Comments (Atom)
0 Response to Covariance structure in generalized mixed models
Post a Comment