nicolas-schmidt / esaps

Indicators of Electoral Systems and Party Systems

Hi there 👋

I am Assistant Professor in Political Science and Quantitative Methods at Political Science Department (DCP) and at Methods and Data Access Unit (UMAD) - Universidad de la Republica.

I develop my academic activity mainly in R language.
I have developed in co-authorship with several colleagues the following packages:

Issue	Package	Description	CRAN	GitHub	Status
M	BayesSPsurv	Fits Bayesian spatial split-population (SP) survival models for clustered event processes.
M	BayesMFSurv	Fits Bayesian split-population (SP) survival models with and wihout misclassified failured events.
DMS	speech	Legislative Speeches
DMS	speechJava	Extract Legislative Speeches with Java
DMS	esaps	Indicators of Electoral Systems and Party Systems
DW	Boreluy	Electoral data of Uruguay 1918 - 2020.
DW	opuy	Uruguayan Public Opinion Data From 1989 to the Present.
DW	puy	Uruguayan Politicians 1830 - 2020
DW	partiesAL	Legislative Parties of the Americas 1925 - 2019.
T	IntRo	Introduction to R statistical software.

Issue

M: Methods
DMS:Data Management and Data Structure
DW:Databases and workflows
T:Teaching

📧 [email protected]