Articles by Joseph Rickert

January 2025 Top 40 New CRAN Packages

February 27, 2025 | Joseph Rickert

In January, one hundred eighty-six new packages made it to CRAN. Here are my Top 40 picks in sixteen categories: Archaeology, Artificial Intelligence, Computational Methods, Ecology, Epidemiology, Finance, Genomics, Health Technology Assessment,...
[Read more...]

A First Look at TimeGPT using nixtlar

February 18, 2025 | Joseph Rickert

This post is a first look at Nixtla’s TimeGPT generative, pre-trained transformer for time series forecasting using the nixtlar R package. As described in Garza et al. (2021), TimeGPT is a Transformer-based time series model with self-atten...
[Read more...]

A First Look at TimeGPT using nixtlar

February 11, 2025 | Joseph Rickert

This post is a first look at Nixtla’s TimeGPT generative, pre-trained transformer for time series forecasting using the nixtlar R package. As described in Garza et al. (2021), TimeGPT is a Transformer-based time series model with self-atten...
[Read more...]

December 2024 Top 40 New CRAN Packages

January 26, 2025 | Joseph Rickert

In December, one hundred twenty-three new packages made it to CRAN. Here are my Top 40 picks in eighteen categories: Agriculture, Biology, Computational Methods, Data, Ecology, Epidemiology, Genomics, Healthcare, Health Technology Assessment, Ma...
[Read more...]

Bayesian Meta-Analysis with brms

January 12, 2025 | Joseph Rickert

In our previous post, Examining Meta Analysis, we contrasted a frequentist version of a meta analysis conducted with R’s meta package with a Bayesian meta analysis done mostly in stan using the rstan package as a front end. We did this to hint a...
[Read more...]

November 2024 Top 40 New CRAN Packages

December 17, 2024 | Joseph Rickert

One hundred ninety-four new packages made CRAN’s final cut in November. Here are my Top 40 picks in nineteen categories: Botany, Climate Analysis, Computational Methods, Data, Ecology, Education, Environment, Epidemiology, Genomics, Health Techn...
[Read more...]

October 2024: Top 40 New CRAN Packages

November 24, 2024 | Joseph Rickert

One hundred eighty-one new packages made CRAN’s final cut in October. Here are my Top 40 picks in thirteen categories: AI, Climate Analysis, Computational Methods, Data, Epidemiology, Genomics, Machine Learning, Medicine, Quality Management, Sta...
[Read more...]

Manifold Learning

November 10, 2024 | Joseph Rickert

Many algorithms supporting AI and machine learning depend on the notion of embeddings. Data sets are mapped to or embedded in high-dimensional Euclidean vector spaces. Then, various mathematical strategies are employed to reduce data size by map...
[Read more...]

September 2024: Top 40 New CRAN Packages

October 30, 2024 | Joseph Rickert

Two hundred thirty new packages made it to CRAN in September, many of them were interesting, and selecting only forty made for some difficult decisions. When there a difficult choice, I opted in favor of the sciences. Here are my picks for the T...
[Read more...]

August 2024: Top 40 New CRAN Packages

October 30, 2024 | Joseph Rickert

“Top 40” is back, broadcasting on the new R Works blog. I hope to continue the monthly evaluation of R packages that ran for several years on RStudio’s R Views Blog. The following is an idiosyncratic selection of the forty best new R packages su...
[Read more...]

Some Random Weekend Reading

March 24, 2017 | Joseph Rickert

by Joseph Rickert Few of us have enough time to read, and most of us already have depressingly deep stacks of material that we would like to get through. However, sometimes a random encounter with something interesting is all that it takes to regenerate enthusiasm. Just in case you are ... [Read more...]

February 2017 New Package Picks

March 22, 2017 | Joseph Rickert

by Joseph Rickert One hundred and forty-five new packages were added to CRAN in February. Here are 47 interesting packages organized into five categories; Biostatistics, Data, Data Science, Statistics and Utilities. Biostatistics BaTFLED3D v0.1.7: Implements a machine learning algorithm to make predictions and determine interactions in data that varies along ... [Read more...]

Madrid R User Group, A Brief History

March 10, 2017 | Joseph Rickert

by Carlos Ortega (Editors note: A Spanish verison of the post follows the English text) In the first meeting we were 5, now we are consistently over 60. It was not difficult for us to start up the group of users of R of Madrid. Gregorio Serrano, Carlos Gil Bellosta, Pedro Concejero ... [Read more...]

The R Formula Method: The Bad Parts

March 1, 2017 | Joseph Rickert

R’s model formula infrastructure was discussed in my previous post. Despite the elegance and convenience of the formula method, there are some aspects that are limiting. Limitations to Extensibility The model formula interface does have some limitations: It can be kludgy with many operations on many variables (e.g., ... [Read more...]

More January Package Picks

February 24, 2017 | Joseph Rickert

by Joseph Rickert In a recent post, I highlighted several new packages that arrived on CRAN in January that provided R users with access to data. In this post, I present additional selections for interesting January packages, organized into the categories Miscellaneous, Machine Learning, Statistics and Utilities. Miscellaneous rcss v1.2: ... [Read more...]

January New Data Packages

February 17, 2017 | Joseph Rickert

by Joseph Rickert As forecast, the number of R packages hosted on CRAN exceeded 10,000 in January. Dirk Eddelbuettel, who tracks what’s happening on CRAN with his CRANberries site, called hurricaneexposure the 10,000th package in a tweet on January 27th. hurricaneexposure was one of two hundred and six new packages ... [Read more...]

Some Notes on the Cauchy Distribution

February 15, 2017 | Joseph Rickert

by Joseph Rickert I have always been attracted to the capricious. So, it was no surprise that I fell for the Cauchy distribution at first sight. I had never seen such unpredictability! You might say that every distribution has its moments of unpredictability, but the great charm of Cauchy is ...
[Read more...]

Three Tips for Training Excel Users in R

February 10, 2017 | Joseph Rickert

by Merav Yuravlivker, CEO of Data Society “I’m not a coder” or “I was never good at math” is a frequent refrain I hear when I ask professionals about their data analysis skills. Through popular culture and stereotypes, most people who don’t have a background in programming automatically ... [Read more...]

The R Formula Method: The Good Parts

February 1, 2017 | Joseph Rickert

by Max Kuhn Introduction The formula interface to symbolically specify blocks of data is ubiquitous in R. It is commonly used to generate design matrices for modeling function (e.g. lm). In traditional linear model statistics, the design matrix is the two-dimensional representation of the predictor set where instances of ... [Read more...]

Introducing sparklyr to the Madrid R User Group

January 20, 2017 | Joseph Rickert

by Carlos Ortega In the last meeting of 2016, the 40th in Madrid’s R Users Group five-year history, we had the opportunity to listen (via Skype) to a very interesting talk by Javier Luraschi, the main author of the package sparklyr. In our previous meeting, a colleague of the Community (... [Read more...]
1 2 3 … 17

Copyright © 2025 | MH Corporate basic by MH Themes