Description: Stratified covariate balancing through naturally occurring strata to adjust for confounding and interaction effects. Contains 4 primary functions which perform stratification, sensitivity analysis and return adjusted odds along with naturally occurring strata.

Author: Farrokh Alemi <falemi@gmu.edu> , Amr ElRafey <aelrafey@gmu.edu>
Description: Performs Stratified Covariate Balancing with Markov blanket feature selection and use of synthetic cases. See Alemi et al. (2016) <DOI:10.1111/1475-6773.12628>.

Description: A toolkit for stratified medicine, subgroup identification, and precision medicine.
Current tools include (1) filtering models (reduce covariate space), (2) patient-level estimate
models (counterfactual patient-level quantities, for example the individual treatment effect),
(3) subgroup identification models (find subsets of patients with similar treatment effects),
and (4) parameter estimation and inference (for the overall population and discovered subgroups).
These tools can directly feed into stratified medicine algorithms including PRISM
(patient identifiers for stratified medicine; Jemielita and Mehrotra 2019 (in progress)).
PRISM is a flexible and general framework which accepts user-created models/functions. This
package is in beta and will be continually updated.
Imports: dplyr, partykit, rpart, ranger, BART, grf, survival, survRM2,

(patient response identifiers for stratified medicine; Jemielita and Mehrotra 2019 (in progress)).
Imports: dplyr, partykit, ranger, survival, glmnet, ggplot2, mvtnorm
Suggests: knitr, rmarkdown, MASS, zoo, BART, grf, survRM2, TH.data,

Imports: dplyr, partykit, ranger, survival, glmnet, ggplot2, ggparty,

(patient response identifiers for stratified medicine; Jemielita and Mehrotra (2019)
<arXiv:1912.03337>. PRISM is a flexible and general framework which accepts
user-created models/functions. This package is in beta and will be continually updated.
Suggests: knitr, rmarkdown, MASS, BART, randomForestSRC, grf, survRM2,
TH.data, coin, rpart, testthat (>= 2.1.0)