tibble, glue, jsonlite (>= 1.6), leaflet, leaflet.extras,
methods, purrr (>= 0.2), readr (>= 1.3), readxl, rlang (>=
Stephanie Hazlitt [aut, ctb] (<https://orcid.org/0000-0002-3161-2304>),

Imports: cli, methods, DBI, crul (>= 0.7.4), dbplyr (>= 1.3.0), dplyr
(>= 0.8.1), tibble, glue, jsonlite (>= 1.6), leaflet,
leaflet.extras, purrr (>= 0.2), readr (>= 1.3), readxl, rlang

Imports: cli, methods, DBI, crul (>= 1.1.0), dbplyr (>= 1.3.0), dplyr
Suggests: covr, ggplot2, knitr, rmarkdown, testthat, withr

Imports: cli, methods, DBI, crul (>= 1.1.0), dbplyr (>= 2.0.0), dplyr

Title: Causal Inference for a Binary Treatment and Continuous Outcome
Author: P. Richard Hahn, Jared S. Murray, and Carlos Carvalho
Maintainer: Jared S. Murray <jared.murray@mccombs.utexas.edu>
Description: Causal inference for a binary treatment and continuous outcome using Bayesian Causal Forests. See Hahn, Murray and Carvalho (2017) <arXiv:1706.09523> for additional information. This implementation relies on code originally accompanying Pratola et. al. (2013) <arXiv:1309.1906>.

Title: Semiparametric Bivariate Correlated Frailty Model
Authors@R: c(person(c("Mesfin", "Tsegaye"),  role=c("aut", "cre"),
Description: Fit and simulate a semiparametric bivariate correlated frailty models with
proportional hazard structure. Frailty distributions, such as gamma and
lognormal models are supported. Bivariate gamma fit is obtained
using the approach given in Iachine (1995) and lognormal fit is based
on the approach by Ripatti and Palmgren (2000) <doi:10.1111/j.0006-341X.2000.01016.x>.

Title: Bivariate Correlated Frailty Models with Varied Variances
Description: Fit and simulate bivariate correlated frailty models with
lognormal models are supported. Frailty variances of the two subjects
can be varied or equal. Details on the models are available in book of
Wienke (2011,ISBN:978-1-4200-7388-1). Bivariate gamma fit is obtained using the approach given
in Iachine (1995) with modifications. Lognormal fit is based on the approach
and bivariate shared gamma frailty model fits are possible. Standard errors of
the estimated covariate coefficients and frailty variance parameter are obtained using
the approach given in Klein and Moeschberger (2003,ISBN:0-387-95399-X).