Other packages > Find by keyword >

optic  

Simulation Tool for Causal Inference Using Longitudinal Data
View on CRAN: Click here


Download and install optic package within the R console
Install from CRAN:
install.packages("optic")

Install from Github:
library("remotes")
install_github("cran/optic")

Install by package version:
library("remotes")
install_version("optic", "1.0.1")



Attach the package and use:
library("optic")
Maintained by
Pedro Nascimento de Lima
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2023-05-26
Latest Update: 2023-08-08
Description:
Implements a simulation study to assess the strengths and weaknesses of causal inference methods for estimating policy effects using panel data. See Griffin et al. (2021) and Griffin et al. (2022) for a description of our methods.
How to cite:
Pedro Nascimento de Lima (2023). optic: Simulation Tool for Causal Inference Using Longitudinal Data. R package version 1.0.1, https://cran.r-project.org/web/packages/optic. Accessed 05 Jun. 2026.
Previous versions and publish date:
1.0.0 (2023-05-26 09:50)
Other packages that cited optic R package
View optic citation profile
Other R packages that optic depends, imports, suggests or enhances
Complete documentation for optic
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

ibb  
R Wrapper for Istanbul Municipality Open Data Portal
Call wrappers for Istanbul Metropolitan Municipality's Open Data Portal (Turkish: Istanbul B ...
Download / Learn more Package Citations See dependency  
msm  
Multi-State Markov and Hidden Markov Models in Continuous Time
Functions for fitting continuous-time Markov and hidden Markov multi-state models to longitudinal d ...
Download / Learn more Package Citations See dependency  
quickcode  
Quick and Essential 'R' Tricks for Better Scripts
The NOT functions, 'R' tricks and a compilation of some simple quick plus often used 'R' codes to im ...
Download / Learn more Package Citations See dependency  
crossurr  
Cross-Fitting for Doubly Robust Evaluation of High-Dimensional Surrogate Markers
Doubly robust methods for evaluating surrogate markers as outlined in: Agniel D, Hejblum BP, Thiebau ...
Download / Learn more Package Citations See dependency  
envirem  
Generation of ENVIREM Variables
Generation of bioclimatic rasters that are complementary to the typical 19 bioclim variables. ...
Download / Learn more Package Citations See dependency  

27,268

R Packages

233,548

Dependencies

72,590

Author Associations

27,205

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA