Hi Skip,
Can you post the error messages you are seeing? That'll help us diagnose
the problem.
Cheers,
Matt
On Tue, Jul 14, 2015 at 9:30 AM Russell Barbour <russellbarbour(a)gmail.com>
wrote:
Dear All,
I am having a problem calling up the AmeliaView GUI. I have installed and
loaded tcltk' but it still will not load. Would someone be so kind as to
give me the syntax to to this? The Manual say to simply call AmeliaView,
once Amelia II is loaded, but I only get error messages.
Thanks
Skip Barbour
On Wed, Jun 24, 2015 at 7:49 PM, Graham, Erin <Erin.Graham(a)oregonstate.edu
wrote:
I have a question about combining imputed data
from Amelia. I
understand the rationale for running your end analysis on each imputed data
set separately, and then combining the model results. However, what if your
analysis is more complicated than a simple LM? For example, for my
analysis, I am using imputed data sets (5) of time series variables (12
independent water quality variables, all time series, and 1 dependent time
series). I am decomposing each series using loess and extracting the trend
only. Then, I am using prewhitening and cross correlation to identify lags
of variables that may be useful predictors. Finally, I am differencing each
series and creating and comparing ARIMA models with external regressors to
find the best model. I am having a hard time understanding how going
through each of these steps with each imputed data set separately (and
trying to combine the best models) is not going to create more variability
and decrease the confidence of the model compared to averaging the imputed
data sets before doing any analysis.
In short, if my imputed data sets are not "that" different, and the range
of values for each of my predictors is relatively small, could it possibly
be better to average the data first instead of trying to combine the best
model from each?
I would greatly appreciate any comments or suggestions.
Thank you for your help.
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