Title: Discrete Event Simulation in R and C++, with Tools for
Description: Discrete event simulation using both R and C++ (Karlsson et al 2016; <doi:10.1109/eScience.2016.7870915>). The C++ code is adapted from the SSIM library <https://www.inf.usi.ch/carzaniga/ssim/>, allowing for both event-oriented and process-oriented simulation. The code includes a SummaryReport class for reporting events and costs by age and other covariates. The C++ code is available as a static library for linking to other packages. A priority queue implementation is given in C++ together with an S3 closure and a reference class implementation. Finally, some tools are provided for cost-effectiveness analysis.

Description: Discrete event simulation using both R and C++ (Karlsson et al 2016; <doi:10.1109/eScience.2016.7870915>). The C++ code is adapted from the SSIM library <https://www.inf.usi.ch/carzaniga/ssim/>, allowing for event-oriented simulation. The code includes a SummaryReport class for reporting events and costs by age and other covariates. The C++ code is available as a static library for linking to other packages. A priority queue implementation is given in C++ together with an S3 closure and a reference class implementation. Finally, some tools are provided for cost-effectiveness analysis.
Imports: parallel, grDevices, ascii, survival

Title: Synthetic Control Methods with Micro- And Meso-Level Data
Description: A generalization of the 'Synth' package that is designed
for data at a more granular level (e.g., micro-level). Provides
functions to construct weights (including propensity score-type
weights) and run analyses for synthetic control methods with
micro- and meso-level data; see Robbins, Saunders, and Kilmer
Imports: boot, survey, MASS, stats, utils, kernlab, LowRankQP, nleqslv,
person("Michael", "Robbins", , "mrobbins@rand.org", c("aut", "cre")),
person("Steven", "Davenport", , "sdavenpo@rand.org", "aut"))

Description: A generalization of the 'Synth' package that is
designed for data at a more granular level (e.g., micro-level).
Provides functions to construct weights (including propensity
score-type weights) and run analyses for synthetic control methods
with micro- and meso-level data; see Robbins, Saunders, and Kilmer
Imports: boot, survey, kernlab, LowRankQP, nleqslv, stats, parallel,
Packaged: 2021-01-12 00:05:22 UTC; macbookpro