Software

I am passionate about contributing to the open-source community through the development of R packages. Currently, I am the author of three notable packages:

naivebayes

The naivebayes package is a powerful tool for implementing Naive Bayes classifiers in R. It simplifies the process of building and applying Naive Bayes models, making it accessible for a wide range of users. Whether you’re new to machine learning or an experienced data scientist, naivebayes provides a user-friendly interface for efficient classification tasks.

The package has gained recognition for its contributions and is widely used in various applications. It has been utilized in high-quality scientific research published in the Nature portfolio.

• 
• View on CRAN
• Documentation.
• GitHub Repository.

oHMMed (GitHub) - Co-author

The oHMMed package contains an implementation of Hidden Markov Models with ordered hidden states and emission densities used for inference with applications to genomic sequences, time series, or any other sequence data with serial autocorrelation.
Read more.

• 
• View on CRAN
• Documentation
• GitHub Repository

easyPlot

easyPlot is an intuitive graphical user interface (GUI) meticulously designed for ggplot2. easyPlot serves as a powerful tool, allowing users to effortlessly create four fundamental types of graphs — scatterplots, histograms, boxplots, and bar charts — with just a few clicks.

• Test live on Shiny Server
• GitHub Repository

Explore and test easyPlot live on my Shiny Server and discover how simple and effective it is for your data visualization needs. Dive into the code and contribute on GitHub. Your feedback and contributions are highly valued!

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If you appreciate my work and find my software helpful, you can show your support by buying me a coffee :)