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Nicolas-Schmidt/README.md

Hi there 👋

I am a Professor of Political Science and Quantitative Methods at the Department of Political Science (DCP) and the Methods and Data Access Unit (UMAD) at Universidad de la República.

My academic work is primarily developed using the R programming language. In collaboration with various colleagues, I have co-authored several R packages, including:

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 (see speech-examples) 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. (Shiny apps: DatosElectorales, VotoCircuito, SimulaCongreso)
DW opuy Uruguayan Public Opinion Data From 1989 to the Present. (Shiny app: DatosOP
DW puy Uruguayan Politicians 1830 - 2020
DW partiesAL Legislative Parties of the Americas 1925 - 2019.
DW DIGEuy Directorio de Gremiales Empresariales de Uruguay desde 1871 a la actualidad.
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

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  1. speech speech Public

    Legislative Speeches

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  2. IntRo IntRo Public

    Curso Introducción al software estadístico R

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    Indicators of Electoral Systems and Party Systems

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  4. mediaR mediaR Public

    Curso Programación en R para el análisis de datos

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    Datos electorales de Uruguay 1918 - 2020

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  6. BayesSPsurv BayesSPsurv Public

    Bayesian Spatial Split Population Survival Model

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