Description: Provides 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. This version supports unbalanced panels. Reference: Yiqing Xu (2017) <doi:10.1017/pan.2016.2>.

Description: Provides 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. This version supports unbalanced panels and implements the matrix completion method. Main reference: Yiqing Xu (2017) <doi:10.1017/pan.2016.2>.

Description: Provides 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. This version supports unbalanced panels and implements the matrix completion method.

Title: Easily Create Presentation-Ready Display Tables
Description: Build display tables from tabular data using with an easy-to-use
API. With its progressive approach, we can construct display tables with a
clear separation of concerns: you don't have to decide how the tabular data
gets transformed and structured whilst also worrying about aesthetics.
person("Joe", "Cheng", , "joe@rstudio.com", "aut"),
person("Barret", "Schloerke", , "barret@rstudio.com", "aut",
Imports: checkmate (>= 2.0.0), commonmark (>= 1.7), dplyr (>= 0.8.5),
Suggests: knitr, paletteer, testthat (>= 2.1.0), RColorBrewer,
rmarkdown, rvest, shiny, tidyr, webshot, xml2
Collate: 'as_data_frame.R' 'base64.R' 'build_data.R' 'compile_scss.R'
'data_color.R' 'datasets.R' 'dt__.R' 'dt_body.R' 'dt_boxhead.R'
'export.R' 'format_data.R' 'gt-package.R' 'gt.R' 'gt_preview.R'