R.version
_ platform x86_64-pc-linux-gnu arch x86_64 os linux-gnu system x86_64, linux-gnu status major 3 minor 3.1 year 2016 month 06 day 21 svn rev 70800 language R version.string R version 3.3.1 (2016-06-21) nickname Bug in Your Hair
R.version.string
%%latex
\[ y_{it} = \alpha + \beta d_{it} + f(x_{it} - 0.05) + d_{it} g(x_{it} - 0.05) + \varepsilon_{it} \]
%\[ y_{it} = \alpha + \beta d_{it} + \sum_{k=1}^3 \gamma_k^b(x_{it} - 0.05)^k + \sum_{k=1}^3 \gamma_k^a d_{it} (x_{it} - 0.05)^k + \varepsilon_{it} \]
I will likely have multiple experiments from the same client, so it may make sense to add client-level fixed effects (and to cluster the errors at the client level):
\[ y_{ijt} = \alpha_{j} + \beta d_{ijt} + f(x_{ijt} - 0.05) + d_{ijt} g(x_{ijt} - 0.05) + \varepsilon_{ijt} \]
Error in parse(text = x, srcfile = src): <text>:1:1: unexpected SPECIAL 1: %% ^ Traceback: