Variants of strategy estimation (Dal Bo & Frechette, 2011, <doi:10.1257/aer.101.1.411>), including the model with parameters for the choice probabilities of the strategies (Breitmoser, 2015, <doi:10.1257/aer.20130675>), and the model with individual level covariates for the selection of strategies by individuals (Dvorak & Fehrler, 2018, <doi:10.2139/ssrn.2986445>).

A dynamic model of 
    the big-picture, whole ecosystem effects of hydrodynamics, 
	temperature, nutrients, and fishing on continental shelf marine 
	food webs. The package is described in: Heath, M.R., 
	Speirs, D.C., Thurlbeck, I. and Wilson, R.J. (2020) 
	<doi:10.1111/2041-210X.13510> StrathE2E2: An R package 
	for modelling the dynamics of marine food webs and 
	fisheries. 8pp.

Univariate stratification of survey populations with a generalization of the 
  Lavallee-Hidiroglou method of stratum construction. The generalized method takes into account 
  a discrepancy between the stratification variable and the survey variable. The determination 
  of the optimal boundaries also incorporate, if desired, an anticipated non-response, a take-all 
  stratum for large units, a take-none stratum for small units, and a certainty stratum to ensure 
  that some specific units are in the sample. The well known cumulative root frequency rule of 
  Dalenius and Hodges and the geometric rule of Gunning and Horgan are also implemented.

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>.

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, such as the conditional average treatment effect), 
    (3) subgroup identification models (find subsets of patients with similar treatment effects), 
    and (4) treatment effect estimation and inference (for the overall population and discovered 
    subgroups). These tools can be customized and are directly used in PRISM 
    (patient response identifiers for stratified medicine; Jemielita and Mehrotra 2019
    <arXiv:1912.03337>. This package is in beta and will be continually updated.