R-bloggers

If you work in pharma, you know how much time and money go into drug development. The last thing you want is a painful FDA rejection, one that not only costs your company millions but also delays critical treatments for patients who need them. Regulatory rejections can happen for many ...

Introduction An important aspect of writing an R-script or an R-package is ensuring reproducibility and maintainability of the developed code, not only for others, but also for our future selves. The modern R ecosystem provides various tools and packa...

A new function in the misc package allows you to perform conformal prediction with any R machine learning model. Conformal prediction improves prediction intervals' coverage rate thanks to held-out set cross-validation errors.

In recent posts, I introduced a Bayesian approach to proportional hazards modeling and then extended it to incorporate a penalized spline. (There was also a third post on handling ties when multiple individuals share the same event time.) This post ...

How can learning the cor function in r transform your data analysis workflow into a precise, insightful, reproducible process that measures relationships between variables and drives actionable insights in research and business? It allows you to eff...

ShinyConf 2025 is almost here, and we’re excited to bring the community together again. As the organizers, we’ve put together a lineup of talks and workshops that focus on making Shiny apps faster, easier to use, and more scalable. Don’t miss out on ShinyConf 2025! Register now and join ...

🙈 Made a hilariously redundant R package for a simple OpenAI calls, but the real win was finally learning how to build an R package! 🛠️ Is it efficient? Absolutely not!Was it worth the time and experience? Yes! Will I do it again? Yes! Will it break? ...

The Problem 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 two adjacent squares (sharing a side) can have the same color. How many valid ways you ca...

Recent versions of NIMBLE now include the ability to use macros in models. NIMBLE is a system for building and sharing analysis methods for statistical models, especially for hierarchical models and computationally-intensive methods (such as MCMC, Laplace approximation, and SMC). A NIMBLE macro is a succinct syntax that expands to ...

As I’ve already discussed in this vignette of my {rix} package, it is very easy to run a {targets} pipeline inside of a Nix environment for increased reproduciblity. The main drawback of {targets} though, is that it is not possible to comp...

Over my past few posts, I’ve been progressively building towards a Bayesian model for a stepped-wedge cluster randomized trial with a time-to-event outcome, where time will be modeled using a spline function. I started with a simple Cox proportional...

The pharmaceutical industry develops life-saving drugs while maintaining strict quality standards. Regulatory requirements ensure safety and compliance but can slow process changes due to extensive documentation and resource demands. GxP compliance can be complex, but we’ve got you covered. Learn how to navigate regulations in the pharmaceutical industry. Quality ...

Have you ever wanted access to __yfinance__ data in an Excel spreadsheet? If so, this two-part blog may be of interest. It describes an approach using a Flask API to access __yfinance__ data and the Power Query queries required to consume the data in Excel.

Have you ever wanted access to __yfinance__ data in an Excel spreadsheet? If so, this two-part blog may be of interest. It describes an approach using a Flask API to access __yfinance__ data and the Power Query queries required to consume the data in Excel.