Title: Estimation of the Proportion of SB Explained by Confounders
Description: Uses parametric and nonparametric methods to quantify the proportion of the estimated selection bias (SB) explained by each observed confounder when estimating propensity score weighted treatment effects. Parast, L and Griffin, BA (2020). "Quantifying the Bias due to Observed Individual Confounders in Causal Treatment Effect Estimates". Statistics in Medicine, In press (doi to be added when published).

Description: Uses parametric and nonparametric methods to quantify the proportion of the estimated selection bias (SB) explained by each observed confounder when estimating propensity score weighted treatment effects. Parast, L and Griffin, BA (2020). "Quantifying the Bias due to Observed Individual Confounders in Causal Treatment Effect Estimates". Statistics in Medicine, 39(18): 2447- 2476 <doi: 10.1002/sim.8549>.

Title: Scalable Bayes with Median of Subset Posteriors
Description: Median-of-means is a generic yet powerful framework for scalable and robust estimation. A framework for Bayesian analysis is called M-posterior, which estimates a median of subset posterior measures. For general exposition to the topic, see the paper by Minsker (2015) <doi:10.3150/14-BEJ645>.
Imports: Rcpp, Rdpack, expm, stats, utils

Title: Spatial Clustering with Hidden Markov Random Field using
person("Yi", "Yang", email = "yygaosansiban@sina.com", role = c("aut", "cre")),
Description: Spatial clustering with hidden markov random field fitted via EM algorithm, details of which can be found in Yi Yang (2021) <doi:10.1101/2021.06.05.447181>. It is not only computationally efficient and scalable to the sample size increment, but also is capable of choosing the smoothness parameter and the number of clusters as well.
Imports: Rcpp (>= 1.0.6), SingleCellExperiment, purrr,

Depends: mclust,parallel,ggplot2, Matrix, R (>= 3.5)
Imports: Rcpp (>= 1.0.6), SingleCellExperiment, purrr,BiocSingular,

Authors@R: person('Samuel', 'Morrissette', email = 'samuel.morrissette01@gmail.com', role = c('cre', 'aut'))
Description: A wrapper for Blizzard's Starcraft II (a 2010 real-time strategy game) Application Programming Interface (API). All documented API calls are implemented in an easy-to-use and consistent manner.
Suggests: rmarkdown, knitr, httptest, ggplot2, testthat