Hi Andrew,
I do not think there is a reason to avoid it for univariate regression
other than:
1) as was stated the predictors must be continuous
2) it will be slower (non issue for a handful of regressions on a few
thousand cases but for people doing thousands of regression on
millions of observa
Miles
Date: 2012-07-23 16:07
To: yrosseel
CC: r-help
Subject: Re: [R] FIML using lavaan returns zeroes for coefficients
Thanks for the helpful explanation.
As to your question, I sometimes use lavaan to fit univariate regressions
simply because it can handle missing data using FIML rather than lis
Thanks for the helpful explanation.
As to your question, I sometimes use lavaan to fit univariate regressions
simply because it can handle missing data using FIML rather than listwise
deletion. Are there reasons to avoid this?
BTW, thanks for the update in the development version.
Andrew Mi
On 07/20/2012 10:35 PM, Andrew Miles wrote:
Hello!
I am trying to reproduce (for a publication) analyses that I ran
several months ago using lavaan, I'm not sure which version, probably
0.4-12. A sample model is given below:
pathmod='mh30days.log.w2 ~ mh30days.log + joingroup + leavegroup +
alw
Hello!
I am trying to reproduce (for a publication) analyses that I ran several months
ago using lavaan, I'm not sure which version, probably 0.4-12. A sample model
is given below:
pathmod='mh30days.log.w2 ~ mh30days.log + joingroup + leavegroup + alwaysgroup
+ grp.partic.w2 + black + age + bi
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