Experiment-Selector CV-TMLE for Integration of Observational and
RCT Data
c(
person("Lauren Eyler", "Dang", email = "lauren.eyler@berkeley.edu", role = c("cre","aut")),
person("Maya", "Petersen", email = "mayaliv@berkeley.edu", role = "aut"),
person("Mark", "van der Laan", email = "laan@berkeley.edu", role = "aut"))
The experiment selector cross-validated targeted maximum likelihood estimator (ES-CVTMLE) aims to select the experiment that optimizes the bias-variance tradeoff for estimating a causal average treatment effect (ATE) where different experiments may include a randomized controlled trial (RCT) alone or an RCT combined with real-world data. Using cross-validation, the ES-CVTMLE separates the selection of the optimal experiment from the estimation of the ATE for the chosen experiment. The estimated bias term in the selector is a function of the difference in conditional mean outcome under control for the RCT compared to the combined experiment. In order to help include truly unbiased external data in the analysis, the estimated average treatment effect on a negative control outcome may be added to the bias term in the selector. For more details about this method, please see Dang et al. (2022) <arXiv:2210.05802>.
Lauren Eyler Dang [cre, aut],
Maya Petersen [aut],
Mark van der Laan [aut]

Modeling earthquake data using Epidemic Type Aftershock Sequence
model
Abdollah Jalilian <jalilian@razi.ac.ir>, based on Fortran code
by Jiancang Zhuang
A package for fitting the ETAS model to earthquake
catalogoues ETAS model is a spatio-temporal marked point
process model and a special case of the Hawcks process

Modeling Earthquake Data Using ETAS Model
Abdollah Jalilian [aut, cre], Jiancang Zhuang [ctb]
Fitting the space-time Epidemic Type
Aftershock Sequence (ETAS) model to earthquake catalogs
using a stochastic declustering approach.
The ETAS model is a spatio-temporal marked point process
model and a special case of the Hawcks process.
The package is based on Fortran code by Jiancang Zhuang
(available at http://bemlar.ism.ac.jp/zhuang/software.html),
which is translated into C such that it can be called from R.