Title: Computation of Rayleigh Densities of Arbitrary Dimension
Description: We offer an implementation of the series representation put
forth in "A series representation for multidimensional
Rayleigh distributions" by Wiegand and Nadarajah <DOI:
10.1002/dac.3510>. Furthermore we have implemented an
integration approach proposed by Beaulieu et al. for 3 and
4-dimensional Rayleigh densities (Beaulieu, Zhang,  "New
simplest exact forms for the 3D and 4D multivariate Rayleigh
PDFs with applications to antenna array geometrics", <DOI:

Title: Doubly Robust Difference-in-Differences Estimators
Authors@R: c(person("Pedro H. C.", "Sant'Anna", email = "pedro.h.santanna@vanderbilt.edu",
person("Jun B.", "Zhao", email = "jun.zhao@vanderbilt.edu",role = c("aut"))
Description: Implements the locally efficient doubly robust difference-in-differences (DiD)
estimators for the average treatment effect proposed by Sant'Anna and Zhao (2020)
<arXiv:1812.01723>. The estimator combines inverse probability weighting and outcome
regression estimators (also implemented in the package) to form estimators with
more attractive statistical properties. Two different estimation methods can be used
Suggests: knitr, rmarkdown, spelling, testthat, covr
Author: Pedro H. C. Sant'Anna [aut, cre],
Maintainer: Pedro H. C. Sant'Anna <pedro.h.santanna@vanderbilt.edu>

person("Jun", "Zhao", email = "jun.zhao@vanderbilt.edu",role = c("aut"))
<doi:10.1016/j.jeconom.2020.06.003>. The estimator combines inverse probability weighting and outcome

Suggests: knitr, rmarkdown, spelling, testthat
Packaged: 2021-11-13 07:21:21 UTC; psantanna

Packaged: 2022-07-19 20:55:52 UTC; psantanna

Title: A Nonparametric Doubly Robust Test for Continuous Treatment
Authors@R: person(given = "Guangwei",family = "Weng",role = c("aut", "cre"), email = "wengx076@umn.edu")
Description: Implement the statistical test proposed in Weng et al. (2021) to test whether
the average treatment effect curve is constant and whether a discrete covariate is a significant effect modifier.