The CRAN Top 40 is an attempt to sort through the massive amount of new packages submitted to CRAN every month and find forty, quality packages that demonstrate the broad use of the R language, and ap...

A personal, idiosyncratic, unabashedly biased, time-constrained attempt to capture the depth and breadth of the new packages submitted to CRAN in a single month.

A personal, idiosyncratic, unabashedly biased, time-constrained attempt to capture the depth and breadth of the new packages submitted to CRAN in a single month.

A personal, idiosyncratic, unabashedly biased, time-constrained attempt to capture the depth and breadth of the new packages submitted to CRAN in a single month.

CRAN continues to be the most accessible repository for statistical knowledge on the planet, and the number of new packages being accepted by CRAN is growing faster than ever. But, is the R community ...

An idiosyncratic, unabashedly biased, time-constrained attempt to capture the depth and breadth of the new packages submitted to CRAN in a single month entirely without the use of AI: clearly unsustai...

An idiosyncratic, unabashedly biased, time-constrained attempt to capture the depth and breadth of the new packages submitted to CRAN in a single month entirely without the use of AI: clearly unsustai...

This post presents a proof of concept for constructing Healthcare Economics Models from a patient’s perspective. Taking oral squamous cell carcinoma as a case study, it models the health states that a...

Posit Assistant does indeed support Skills.

An attempt to capture the depth and breadth of what’s new on CRAN.

The community has come together to create some great Claude Skills that you can try out today.

An attempt to capture the depth and breadth of what’s new on CRAN.

An attempt to capture the depth and breadth of what’s new on CRAN.

This post proposes smoothing ROC curves to make them into objects that can be studied with calculus. It shows how taking derivatives of the ROC curve enables conducting likelihood ratio tests and expl...

Here are my picks for the best of the two hundred and four new packages that landed on CRAN in October. Packages are organized into fifteen categories: Data, Decision Analysis, Ecology, Econometrics, ...

This post explains the basics of ROC curves using simple code and intuitive explanations.

The ggextenders club provides inspiration and resources for those venturing into the exciting world of creating custom ggplot2 extensions.

Here are my picks of the best of the two hundred forty new packages that landed on CRAN in September, organized into thirteen categories: Computational Methods, Data, Decision Analysis, Ecology, Epide...

In a previous post, A Simple Bayesian Multi-state Survival Model for a Clinical Trial, I described a textbook example comparing the effectiveness of asthma treatments by fitting a discrete-time Markov...

Here are my picks for the best from the ninety-seven new packages that landed on CRAN in August, organized in eighteen categories: Causal Inference, Data, Differential Privacy, Ecology, Environmental ...

In this post, I explore some properties of the Dirichlet distribution and illustrate the behavior of the symmetric Dirichlet distribution as alpha, the concentration parameter, varies. Understanding t...

The CRAN new package Top 40 - Here are my picks for the best new packages to land on CRAN in July, organized in thirteen categories: Causal Inference, Computational Methods, Data, Ecology, Epidemiolog...

Explore the newly released ANES 2024 survey data in R with {survey} and {srvyr}.

In this post, we walk the reader through the fundamental driver of successfully using AI agents – prompting. Prompting is the method of instructing an LLM to perform a task by carefully designing an i...

In this second installment, we analyze a complex dataset of diabetes patient encounters with 100,000+ rows and over 50 columns and dive deeper to evaluate the effectiveness of healthcare delivery and ...

An attempt to capture the depth and breadth of what’s new on CRAN. - One Hundred seventy-six new packages made it to CRAN in May. Here are my Top 40 picks in eighteen categories: Climate Science, Comp...

This post shows how to use the elementary theory of discrete time Markov Chains to construct a multi-state model of patients progressing through various health states in a randomized clinical trial co...

In this post, the first in a series of two focused on healthcare applications, I will introduce a complex healthcare data set and outline the problems I propose to solve using tidyverse and GitHub Cop...

An attempt to capture the depth and breadth of what’s new on CRAN. Here are my Top 40 picks in twenty-two categories: Archaeology, Artificial Intelligence, Biology, Chemistry, Climate Science, Data, E...

In a previous post, we presented an rjags version of a Bayesian model from the textbook: Evidence Synthesis for Decision Making in Healthcare by Welton et al. (2012). This post continues the work of p...

VS Code is a popular, customizable coding environment excellent for working with multiple languages. As a data scientist, its R <-> Python integration deserves careful consideration.

An attempt to capture the depth and breadth of what’s new on CRAN: here are my Top 40 picks in sixteen categories: Agriculture, Archaeology, Biology, Climate Modeling, Computational Methods, Data, Eco...

This post describes a chance encounter with a time series data set for which the forecast and fable packages found different ARIMA models that don’t look much alike, but produce surprisingly close for...

An attempt to capture the depth and breadth of what’s new on CRAN: Here are my Top 40 picks in fifteen categories: Artificial Intelligence, Computational Methods, Ecology, Genomics, Health Sciences, M...

A simplified version of the four color theorem: suppose you have a 2x2 grid of squares, and you need to paint each square one of four colors: red, blue, green, or yellow. The restriction is that no tw...

This post presents a JAGS version of a WinBUGS model presented in the classic textbook Evidence Synthesis for Decision Making in Healthcare by Nicky J. Welton, Alexander J. Sutton, Nicola J. Cooper, K...

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 therstan p...

Reads cell contents plus formatting from a spreadsheet file and creates an editable gt object with the same data and formatting. Supports the most commonly-used cell and text styles including colors, ...

An attempt to capture the depth and breadth of what’s new on CRAN.

An attempt to capture the depth and breadth of what’s new on CRAN.

ESMARConf is a FREE, online annual conference series dedicated to evidence synthesis and meta-analysis in R.

TimeGPT is a pre-trained, multi-layer, encoder/decoder transformer model with self-attention mechansims designed specifically for time series forecasting. This post, a revision of the of the post firs...

TimeGPT is a pre-trained, multi-layer, encoder/decoder transformer model with self-attention mechansims designed specifically for time series forecasting. This post is a first look at forecsting with ...

In this post, I show an example of Simpson’s paradox in a logistic regression model of synthetic clinical trial data.