R-bloggers

In our last post, we applied machine learning to the Capital Aset Pricing Model (CAPM) to try to predict future returns for the S&P 500. This analysis was part of our overall project to analyze the various methods to set return expectations when seeking to build a satisfactory portfolio. Others ...

RBloggers|RBloggers-feedburner I am happy to announce that RAthena-1.9.0 and noctua-1.7.0 have been released onto the cran. They both bring two key features: More stability when working with AWS Athena, focusing on AWS Rate Exceeded throttling errors New helper function to convert AWS S3 backend files to save cost NOTE: ...

I’ve had the privilege of working with Trevor Hastie on an extension of the glmnet package which has just been released. In essence, the glmnet() function’s family parameter can now be any object of class family. This enables the user … Continue reading →

This post is dedicated to my mother - Seinfeld's greatest fan. Seinfeld is a classic TV sitcom. It featured four main characters surrounded by relatively normal, everyday, run-of-the-mill scenarios. In the spirit of Seinfeld, this post will also "be ab...

The YUIMA Project is an open source academic project aimed at developing a complete environment for estimation and simulation of Stochastic Differential Equations and other Stochastic Processes via the R package called yuima and its Graphical User Interface yuimaGUI. Quickstart # install the package install.packages('yuima') # load the package require(...

The YUIMA Project is an open source academic project aimed at developing a complete environment for estimation and simulation of Stochastic Differential Equations and other Stochastic Processes via the R package called yuima and its Graphical User Interface yuimaGUI. Quickstart # install the package install.packages('yuima') # load the package require(...

The ggplot2 package in R provides a reliable system for describing and building graphs. The package is capable of creating elegant and aesthetically pleasing graphics.

Hugo Bowne-Anderson, the host of DataFramed, the DataCamp podcast, recently interviewed Katharine Jarmul, Head of Product at Cape Privacy. Introducing Katharine Jarmul Hugo Bowne Anderson: Hey Katharine. Katharine Jarmul: Hi Hugo. Hugo Bowne Anderson: How are you? Katharine Jarmul: Good. How are you? Hugo Bowne Anderson: Pretty good. So I'm ...

We train you in RStudio Server Pro, RStudio Connect and RStudio Package Manager – remotely  RStudio Team is a bundle of professional software for statistical data analysis, package management and data product exchange. As a certified RStudio partner, we will train you in the proper use of RStudio Team – in German. ...

Packages give you access to a huge set of functions and datasets, most of which are provided by the generous R community. They are the secret sauce which makes it possible to use R for pretty much anything you can imagine. Additionally, lots of packag...

Many tools and packages aim to eliminate the pain and uncertainty of technical project management. For example, git, make, Docker, renv, and drake are just a few existing tools that enable collaboration, manage softwatre dependencies, and promote reproducibility. However, there is no analogous gold standard for managing the most time-consuming ...

Among all probability distributions, the normal distribution is probably the most well-established and well-characterized. The importance of things like the central limit theorem and the normality assumptions in linear regression highlight it well. One of the more interesting ones is the fact that you can approximate a binomial distribution with ...

Introduction Bayesian optimization Acquisition functions Data preparation Random forest model The true distribution of the hyperparameters random search bayesian optimization UCB bayesian optimization PI bayesian optimization EI Contrast the results deep learning model Random search Bayesian optimization UCB Bayesian optimization PI Bayesian optimization EI Contrast the results Conclusion Session info ...