transforming predicted values of a glmm lme4
-----BEGIN PGP SIGNED MESSAGE----- Hash: SHA1
On 05/17/2011 08:46 AM, Michael Gerisch wrote:
Dear list, I calculated predicted values from a poisson glmm (glmer) like this: predvals <- model.matrix ( terms ( fm1 ) , data2 ) %*% fixef ( fm1 ) whereas fm1 is my model & data2 is my new dataframe used for prediction. When using the predict function, e.g. for glms, there is the option to set type="response", which is nice, as you get your predicted values on the scale of the response variable. Which means counts in my case. Alas, there is obviously no such possibility for a mer-object in lme4 and my question is how I can transform my predicted values "by hand" to the scale of the response variable. Thanks in advance & cheers Michael
The default link for a Poisson GLM(M) is log, so just exponentiate. -----BEGIN PGP SIGNATURE----- Version: GnuPG v1.4.10 (GNU/Linux) Comment: Using GnuPG with Mozilla - http://enigmail.mozdev.org/ iEYEARECAAYFAk3SbkwACgkQc5UpGjwzenPXXgCePzNS64W0IHXWs22gZnIUUoV/ P/EAoIBRVTTnIdG1kUShLvv/60UCzRVJ =vEeP -----END PGP SIGNATURE-----