RcppEnsmallen v0.2.15.0.1 Released - New Callback: Optimization Summary Report

The RcppEnsmallen package brings to R a Header-Only C++ Mathematical Optimization Library for Armadillo. In particular, Ensmallen is a templated C++ mathematical optimization library (by the MLPACK team) that provides a simple set of abstractions for writing an objective function to optimize. On election day in the United States, the Ensmallen Development Team made available a new version of Ensmallen with a killer new feature: Optimization Summary Reports. From the documentation, we have:

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msos v1.2.0 Released: Unbalanced data bug fix and a pkgdown site!

The msos R package serves as the companion package to Professor Emeritus John Marden’s Multivariate Statistics: Old School, which is used in STAT 571: Multivariate Analysis course at the University of Illinois at Urbana-Champaign (UIUC). In this hotfix, a long standing bug in the lda() routine that affected unbalanced data was corrected thanks to Trevor Park who reported the issue! Moreover, the package has switched from being tested with TravisCI to using GitHub Actions and now has its own pkgdown website at: https://coatless.

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RcppEnsmallen v0.2.14.2.1 Released - New NSGA2 optimizer and Bug Fixes!

The RcppEnsmallen package brings to R a Header-Only C++ Mathematical Optimization Library for Armadillo. In particular, Ensmallen is a templated C++ mathematical optimization library (by the MLPACK team) that provides a simple set of abstractions for writing an objective function to optimize. There are a lot of goodies in this release. Portions of the goodies are thanks to the excellent job done by the Ensmallen Development Team. For this update, they’ve add the NSGA2 optimizer and addressed a bunch of edge case bugs.

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edmdata v1.0.0 Released: Pre-made data sets for Diagnostic Modeling!

The edmdata package (GitHub, Website) provides data sets from various administered assessments that can be used in diagnostic modeling. These data sets have been analyzed in various papers that introduced new methodology as part of the application section. The package provides detailed documentation for each data set that contains: what the data represents; how the data was imported and wrangled; and where the data was analyzed. The importation and wrangling stages are available in the package’s GitHub repository under the data-raw/ folder.

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RcppEnsmallen v0.2.13.0.1 Released - Early Stopping with Lambdas and Update Deployment Automation

The RcppEnsmallen package brings to R a Header-Only C++ Mathematical Optimization Library for Armadillo. In particular, Ensmallen is a templated C++ mathematical optimization library (by the MLPACK team) that provides a simple set of abstractions for writing an objective function to optimize. After a three month hiatus, the Ensmallen Development Team released a new patch that enabled callbacks for early stopping procedures to receive a lambda function. Outside of that, the group worked on improving automation on new update releases.

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uiucthemes v0.3.1 Released - Upstream compatibility fixes and maintenance

The uiucthemes package is an organizational R package that provides unified brand templates based on the University of Illinois at Urbana-Champaign’s (UIUC) identity guidelines. In particular, the package houses different Beamer and HTML slide templates hooked into R Markdown. As time spins onward, uiucthemes needed a compatibility fix to work with the latest version of rmarkdown. In particular, newer versions of rmarkdown threw the following warning: “citation_package = ‘none’ was deprecated; please use ‘default’ instead.

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RcppEnsmallen v0.2.12.1.1 Released - QoL and compatibility improvements

The RcppEnsmallen package brings to R a Header-Only C++ Mathematical Optimization Library for Armadillo. In particular, Ensmallen is a templated C++ mathematical optimization library (by the MLPACK team) that provides a simple set of abstractions for writing an objective function to optimize. For the third update of 2020, the Ensmallen Development Team focused on improving the quality of the package and fixing issues with Armadillo compatibility version compatibility. Details of all changes can be found in the list below.

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edina v0.1.1 Released: Estimate an Exploratory Deterministic Input, Noisy 'and' Gate Model!

The edina package provides a high-performance implementation of the Exploratory Deterministic Input, Noisy ‘and’ Gate Model (EDINA) described by Chen et al. (2018). Exploratory models estimate the Q-matrix alongside other parameters within a cognitive diagnostic model (CDM) unlike confirmatory models, which require a pre-specified expert Q matrix. For more information, please see the full NEWS release below. edina news file entry for version 0.1.1 (2020-03-25) Features Provides a high-performing modeling routine for the Exploratory Deterministic Input, Noisy “And” Gate model.

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errum v0.0.3 Released: Model an Exploratory Reduced Reparameterized Unified Model!

The errum package provides a high-performance implementation of the Exploratory reduced Reparameterized Unified Model (ErRUM) described by Culpepper and Chen (2018). Development of this model followed from Chen et al. (2018)’s work on estimating the Q-matrix within a cognitive diagnostic model (CDM). With the package now on CRAN, this is the first time an exploratory model has been made available publically! For more information, please see the full NEWS release below.

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errorist v0.1.0 Released: Improved automatic warning searches

errorist: one who holds to and propagates error — Merriam Webster The goal of errorist is to automatically search errors and warnings the second they arise. To accomplish this, errorist automatically applies a set of environment hooks on package load that retrieve errors and warnings, which occur during the execution of code, so that they can be automatically searched for solutions. For the fourth ever errorist update, support was significantly improved for handling multiple warning message searches.

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