comment="Original 'Matlab' and derived code"))
Copyright: Original algorithms and 'Matlab'/C library (c) 2015-2021
Description: Provides an interface to the Gibbs 'SeaWater' ('TEOS-10') C library, version 3.05 (commit 'f7bfebf44f686034636facb09852f1d5760c27f5', dated 2021-03-27, available at <https://github.com/TEOS-10/GSW-C>, which stems from 'Matlab' and other code written by members of Working Group 127 of 'SCOR'/'IAPSO' (Scientific Committee on Oceanic Research / International Association for the Physical Sciences of the Oceans).
Clark Richards [aut, cph] (<https://orcid.org/0000-0002-7833-206X>),

Copyright: Original algorithms and 'Matlab'/C library (c) 2015-2022
Description: Provides an interface to the Gibbs 'SeaWater' ('TEOS-10') C library, version 3.06-16-0 (commit '657216dd4f5ea079b5f0e021a4163e2d26893371', dated 2022-10-11, available at <https://github.com/TEOS-10/GSW-C>, which stems from 'Matlab' and other code written by members of Working Group 127 of 'SCOR'/'IAPSO' (Scientific Committee on Oceanic Research / International Association for the Physical Sciences of the Oceans).

Title: Generalized Synthetic Control Method
Author: Yiqing Xu, University of California, San Diego
Description: Generalized synthetic control method: causal inference with interactive fixed-effect models. It imputes counterfactuals for each treated unit using control group information based on a linear interactive fixed effects model that incorporates unit-specific intercepts interacted with time-varying coefficients. This method generalizes the synthetic control method to the case of multiple treated units and variable treatment periods, and improves efficiency and interpretability. Data must be in form of a balanced panel with a dichotomous treatment.

Description: Generalized synthetic control method: causal inference with interactive fixed-effect models. It imputes counterfactuals for each treated unit using control group information based on a linear interactive fixed effects model that incorporates unit-specific intercepts interacted with time-varying coefficients. This method generalizes the synthetic control method to the case of multiple treated units and variable treatment periods, and improves efficiency and interpretability. Data must be with a dichotomous treatment but not necessarily in form of a balanced panel data.