fullhouse is an R package containing scripts for performing Full House Modeling and data sets. These data sets include era-adjusted statistics for baseball players and preliminary data for an analysis for historical figures.

You can install the development version from GitHub with devtools:

#install.packages("devtools")
devtools::install_github(repo = "DEck13/fullhouse")

The package includes pre‑computed datasets of era‑adjusted player statistics, generated via Full House Modeling. To explore these stats:

• Visit our companion website:
  https://eckeraadjustment.web.illinois.edu/
• View the worked examples in inst/era_adjusted_V2.1.Rmd, published here: https://eckeraadjustment.web.illinois.edu/era_adjusted_V2.1.html
• Watch the full walkthrough video (line‑by‑line code demo for these examples): YouTube Video Link

Here is a reproducible technical report that uses functions from the fullhouse R package in an analysis of the impact of historical figures through the lens of era-adjustment modeling.

This vignette and additional content on era-adjustment modeling for historical impact can be found at this GitHub repo.

We fixed an issue where polynomial tail probability models could produce incorrect results due to improper root-finding intervals. The search interval is now chosen adaptively based on the relationship between the observed maximum and the fitted tail curve. This improves stability and ensures valid solutions when estimating tail behavior.

In this version, the latent talent generating process is modeled using a standard normal distribution (previous versions used a Pareto distribution). This change simplifies computations and aligns with our current implementations. The resulting era-adjusted statistics remain unchanged.