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Nicolas-Schmidt/README.md

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. CRAN_Status_Badge
M BayesMFSurv Fits Bayesian split-population (SP) survival models with and wihout misclassified failured events. CRAN_Status_Badge
DMS speech Legislative Speeches CRAN_Status_Badge
DMS speechJava Extract Legislative Speeches with Java
DMS esaps Indicators of Electoral Systems and Party Systems CRAN_Status_Badge
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


Twitter URL
📧 nschmidt@cienciassociales.edu.uy

Popular repositories

  1. speech speech Public

    Legislative Speeches

    R 7 2

  2. IntRo IntRo Public

    Curso Introducción al software estadístico R

    R 7 2

  3. esaps esaps Public

    Indicators of Electoral Systems and Party Systems

    R 4 2

  4. Boreluy Boreluy Public

    Datos electorales de Uruguay 1918 - 2020

    R 4 2

  5. BayesSPsurv BayesSPsurv Public

    Bayesian Spatial Split Population Survival Model

    R 4 1

  6. mediaR mediaR Public

    Curso Programación en R para el análisis de datos

    R 3 2