Introduction R is a powerful programming language that is widely used for data analysis, visualization, and machine learning. One of the features of R that makes it versatile and flexible is the ability to assign attributes to functions. Attribu...

Scope Feature selection is the process of finding an optimal set of features to improve the performance, interpretability and robustness of machine learning algorithms. In this article, we introduce the Shadow Variable Search algorithm which is...

Scope Feature selection is the process of finding an optimal set of features to improve the performance, interpretability and robustness of machine learning algorithms. In this article, we introduce the Shadow Variable Search algorithm which is ...

Keeping your R code organised is not as straightforward as one might think. Just think about the libraries, variables, functions, and many more. All these objects can be defined and later rewritten, some might get obsolete during the process. This…Read more ›

Introduction As we collect data over time, it’s important to look for patterns and trends that can help us understand what’s happening. One common way to do this is to look at the median of the data. The median is the middle value of a set of nu...

The debt ceiling was always an issue in the United States. As of today, the national government debt has reached the debt ceiling, which is $31.4 trillion. The authorities have warned of chaotic consequences if Congress no longer approves the debt ceiling. The U.S. government has managed an annual deficit ...

Scope The predictive performance of modern machine learning algorithms is highly dependent on the choice of their hyperparameter configuration. Options for setting hyperparameters are tuning, manual selection by the user, and using the default ...

Scope The predictive performance of modern machine learning algorithms is highly dependent on the choice of their hyperparameter configuration. Options for setting hyperparameters are tuning, manual selection by the user, and using the default c...

smooth package has reached version 3.2.0 and is now on CRAN. While the version change from 3.1.7 to 3.2.0 looks small, this has introduced several substantial changes and represents a first step in moving to the new C++ code in the core of the functions. In this short post, I will outline the ...

Introduction Are you looking for a powerful and efficient library for time series analysis? Look no further than {healthyR.ts}! This library has recently been updated with new functions and improvements, making it easier for you to analyze and v...

One hundred sixteen new packages stuck to CRAN in December 2022. Here are my “Top 40” selections in thirteen categories: Computational Methods, Data, Ecology, Epidemiology, Genomics, Machine Learning, Mathematics, Medicine, Networks, Signal Processing, Statistics, Utilities, and Visualization. Computational Methods bgw v0.1.0: Implements the BGW algorithm described by Bunch, Gay and Welsch (1993) which ...

Winter started a bit more than one month ago… but we have already experienced many snow storms… there is still a lot snow in gardens and in the streets, I was wondering if it was that unusual, but apparently not. Compared with last year, it is (for the first months ...

In my last post ‘GooglyPlusPlus now with Win Probability Analysis for all T20 matches‘ I had discussed the performance of my ML models, created with and without player embeddings, in computing the Win Probability of T20 matches. With batsman & bowler embeddings I got much better performance than without the embeddings ...

As an independent consultant the majority of my work is about solving novel problems faced by my clients. At a basic level, a client has a question they need answered or a problem they’d like solved and my job is to develop something that meets their needs (given the ...