2023

March

• shiny.benchmark: Measuring Performance Improvment in Shiny Apps

2022

October

• Estatístico ou Cientista de Dados? Talvez os dois...

August

• Communicating Science Through Shiny Apps

June

• FLAMES: Flexible Link function with AsyMptotES

February

• FairSplit: Shiny Developers Series

January

• Estatístico ou Cientista de Dados? Talvez os dois...

2021

September

• Spatial Confounding Beyond Generalized Linear Mixed Models: Extension to Shared Components and Spatial Frailty Models

February

• Uma brevíssima introdução à Inferência Bayesiana

2020

April

• Shiny: Criando aplicativos e dashboards em R

February

• Spatial Confounding Beyond Generalized LinearMixed Models: Extension to SharedComponents and Spatial Frailty Models

January

• Assessing Spatial Confounding in Bayesian Shared Component Disease Mapping Models via SPOCK, with Applications to SEER Cancer Data

2019

August

• Normal distribution: Normality tests and transformation of variables

April

• Assessing Spatial Confounding in Bayesian Shared Component Disease Mapping Models via SPOCK, with Applications to SEER Cancer Data

2018

August

• Normal distribution: Normality tests and transformation of variables

May

• Voronoys: A Shiny-R App to decipher Brazil’s Elections

2017

November

• Opportunities and Challenges in projects in the postgraduate period

October

• Access to information: making public data accessible to the population

August

• Normal distribution: Normality tests and transformation of variables

May

• Parallelization and GPU programming

2016

November

• Linear regression: A practical perspective