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2009 Mar 13
1
Hierarchical Bayesian Modeling in R
Hi Friends,
I'm trying to model the consumer decisions (Click-Through Rate and
Conversion) in Search Engine Advertising using a hierarchical Bayesian
binary logit. The input data is the weekly CTRs and Avg. Position for each
search keyword.
CTR is modeled as (for each keyword i and week j):
Pij = exp(C + Bi x Positionij + A1 x Lengthi + A2 x Brandi + A3 x
ProductSpecifici) / [1 + exp(C +
2012 May 27
7
Customized R Regression Output?
...for a lot
of different dependent variables.
One single regression looks something like this:
y = beta0 + beta1 * x1 + beta2 * x2 + beta3 * x1 * x2 + beta4 * x4 + beta5 *
lag(x4,-1)
where y is the dependent variable and xi are the independent ones. Important
to me are the different estimates of betai and their respective p-values
only. Now I have aprx. 50 different data sets of y and x1 to x4. So for
each data set I need the respective estimators and their p-values. Do I
really have to type in each single regression for each data set and copy the
output into a table manually?
Isn't it pos...