Title: Optimized Regression Discontinuity Designs
person("Guido", "Imbens", email = "imbens@stanford.edu", role = c("aut")),
person("Stefan", "Wager", email = "swager@stanford.edu", role = c("aut", "cre")))
Description: Optimized inference in regression discontinuity designs, as proposed by Imbens and Wager (2017) <arXiv:1705.01677>.
Packaged: 2017-08-24 20:57:11 UTC; stefanwager

Imports: quadprog, splines, Matrix, CVXR

Imports: quadprog, splines, Matrix, CVXR, glmnet

Authors@R: c(person("Manuel", "Fontenla", role = c("aut", "cre"),
Description: Finds optimal trees in weighted graphs. In
particular, this package provides solving tools for minimum cost spanning
tree problems, minimum cost arborescence problems, shortest path tree

person("Katherine", "Brumberg", , "kbrum@wharton.upenn.edu", role = c("aut", "cre"),
Description: Splits initial strata into refined strata that optimize covariate balance. For more information, please email the author for a copy of the accompanying manuscript. To solve the linear program, the 'Gurobi' commercial optimization software is recommended, but not required. The 'gurobi' R package can be installed following the instructions at <https://www.gurobi.com/documentation/9.1/refman/ins_the_r_package.html>.
Depends: R (>= 2.10), MASS, Rglpk, sampling, ggplot2
Suggests: covr, gurobi, testthat (>= 3.0.0)
Packaged: 2022-11-07 21:31:34 UTC; katherine
Author: Katherine Brumberg [aut, cre] (<https://orcid.org/0000-0002-5193-6250>)

Title: Targeted Stable Balancing Weights Using Optimization
Description: Use optimization to estimate weights that balance covariates for binary, multinomial, continuous, and longitudinal treatments in the spirit of Zubizarreta (2015) <doi:10.1080/01621459.2015.1023805>. The degree of balance can be specified for each covariate.
Suggests: cobalt (>= 3.4.1), twang (>= 1.5)
Packaged: 2018-09-15 18:42:33 UTC; NoahGreifer

Description: Use optimization to estimate weights that balance covariates for binary, multinomial, continuous, and longitudinal treatments in the spirit of Zubizarreta (2015) <doi:10.1080/01621459.2015.1023805>. The degree of balance can be specified for each covariate. In addition, sampling weights can be estimated that allow a sample to generalize to a population specified with given target moments of covariates.
Packaged: 2018-10-17 06:04:23 UTC; NoahGreifer