Title: Estimation of Causal Effects with Generalized Additive Models
Author: Adam Glynn <aglynn@iq.harvard.edu>, Kevin Quinn
Description: This package implements various estimators for average
treatment effects---an inverse probability weighted (IPW)
estimator, an augmented inverse probability weighted (AIPW)
estimator, and a standard regression estimator---that make use
of generalized additive models for the treatment assignment

Description: Implements various estimators for average
treatment effects - an inverse probability weighted (IPW) estimator,
an augmented inverse probability weighted (AIPW) estimator, and a standard
regression estimator - that make use of generalized additive models for
the treatment assignment model and/or outcome model. See: Glynn, Adam N.
and Kevin M. Quinn. 2010. "An Introduction to the Augmented Inverse
Propensity Weighted Estimator." Political Analysis. 18: 36-56.

Title: Matching on Generalized Propensity Scores with Continuous
person("Naeem", "Khoshnevis", email = "nkhoshnevis@g.harvard.edu",
person("Xiao", "Wu", email = "wuxiao@g.harvard.edu",
Description: Provides a framework for estimating causal effects of a continuous
exposure using observational data, and implementing matching and weighting
Wu, X., Mealli, F., Kioumourtzoglou, M.A., Dominici, F. and Braun, D.,
2018. Matching on generalized propensity scores with continuous exposures.
Imports: parallel, data.table, SuperLearner, xgboost, earth, ranger,
gam, KernSmooth, MASS, polycor, wCorr, stats, ggplot2, rlang,
Danielle Braun [aut] (<https://orcid.org/0000-0002-5177-8598>, HSPH)

Title: Inferring Causal Effects using Bayesian Structural Time-Series
Author: Kay H. Brodersen <kbrodersen@google.com>,
Description: Implements a Bayesian approach to causal impact estimation in time
series, as described in Brodersen et al. (2015) <DOI:10.1214/14-AOAS788>.
Copyright: Copyright (C) 2014-2017 Google, Inc.
Imports: assertthat, Boom, dplyr, ggplot2, zoo

Imports: assertthat (>= 0.2.0), Boom, dplyr, ggplot2, zoo

Copyright: Copyright (C) 2014-2019 Google, Inc.