Description: Provides propensity score weighting methods to control for confounding in causal inference with dichotomous treatments and continuous/binary outcomes. It includes the following functional modules: (1) visualization of the propensity score distribution in both treatment groups with mirror histogram, (2) covariate balance diagnosis, (3) propensity score model specification test, (4) weighted estimation of treatment effect, and (5) augmented estimation of treatment effect with outcome regression. The weighting methods include the inverse probability weight (IPW) for estimating the average treatment effect (ATE), the IPW for average treatment effect of the treated (ATT), the IPW for the average treatment effect of the controls (ATC), the matching weight (MW), the overlap weight (OVERLAP), and the trapezoidal weight (TRAPEZOIDAL). Sandwich variance estimation is provided to adjust for the sampling variability of the estimated propensity score. These methods are discussed by Hirano et al (2003) <DOI:10.1111/1468-0262.00442>, Lunceford and Davidian (2004) <DOI:10.1002/sim.1903>, Li and Greene (2013) <DOI:10.1515/ijb-2012-0030>, and Li et al (2016) <DOI:10.1080/01621459.2016.1260466>.
Author: Huzhang Mao <huzhangmao@gmail.com>, Liang Li <LLi15@mdanderson.org>

Title: Estimation for the Power Series Cure Rate Model
Authors@R: c(person("Diego", "Gallardo", role = c("aut","cre"), email = "diego.gallardo.mateluna@gmail.com"))
Description: Provide estimation for particular cases of the power series cure rate model
<doi:10.1080/03610918.2011.639971>. For the distribution of the concurrent causes the
alternative models are the Poisson, logarithmic, negative binomial and Bernoulli (which
are includes in the original work) and the polylogarithm model
<doi:10.1080/00949655.2018.1451850>. The estimation procedure is based on the EM algorithm
For the distribution of the time-to-event the alternative models are slash half-normal,
Weibull, gamma and Birnbaum-Saunders distributions.
Imports: nlme, gtools, LambertW, survival, pracma, mstate, VGAM