The {bibtex} R allows for BibTeX bibliographies to be imported into R.
Within this release, we revive the {bibtex} originally written by Romain François! Previously, the package was orphaned on CRAN when the memory check tests were enabled for the first time. These checks identified various low-level leaks in the package’s use of R’s C API. After a few years, the task of addressing these errors quickly faded. There was a notable effort by Matt Wiese (GitHub) in PR #40.
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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.
In the second update of 2022, the Ensmallen Development Team has focused on adding new optimizers to the underlying package. Newly added optimizers are: AdaBelief, AdaSqrt, Yogi, DemonSGD, and DemonAdam.
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The ohoegdm package (CRAN, GitHub) is home to the implementation of ordinal exploratory Higher-order General Diagnostic Model (OHOEGDM) for Polytomous Data described by Culpepper and Balamuta (In Press). Through a focus on polytomous items with two or more response options, ohoegdm provides a novel method for inferring the latent structure using a higher-order model to describe dependence among the discrete latent attributes.
For more information, please see the full NEWS release below.
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The cIRT package (CRAN, GitHub) is home to the implementation of Choice Item Response Theory (cIRT) described by Culpepper and Balamuta (2015). cIRT jointly models the accuracy of cognitive responses and item choices within a bayesian hierarchical framework.
Wow, when time flies, it really flies! Today, we’re updating cIRT for the first time in almost 2 years. Moreover, it’s been about six years since the package was first listed on CRAN!
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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.
The first update of 2022 for the ensmallen library has been released by the Ensmallen Development Team. The release contains a minor bug fix for displaying timing output and an update to the underlying C++ unit testing framework.
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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.
Potentially the last update of 2021 for the ensmallen library has been released by the Ensmallen Development Team. The main benefit of this patch is fixing CMAES implementation to prevent an infinite loop.
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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.
The fall update of the ensmallen library has been released by the Ensmallen Development Team. Within this release, we see improvements to gradient stability with the inclusion of a gradient clipping and norm scaling callback based on “On the difficulty of training Recurrent Neural Networks” by Razvan Pascanu, Tomas Mikolov, Yoshua Bengio.
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The objective of sitmo (CRAN, GitHub) is to provide the means for performing parallel draws from a Parallel Pseudo Random Number Generator (PPRNG). To that end, the package is largely a bridge into the PPRNGs developed by the sitmo consultancy agency.
After two years without a new release, sitmo has been updated to address an issue highlighted by Yihui in knitr issue #2057 regarding unbalanced code chunk delimiters within the big_crush_test.
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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.
With the release of Chen, Yinghan, Liu, Y., Culpepper, S. A., & Chen, Y. (2021), we have incorporated into edmdata the Elementary Probability Theory Assessment from the {pks} package. When compared to {pks}, the data has been re-formatted from the single probability data frame object into a single trial matrix containing only part one of the assessment.
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The searcher package (CRAN, GitHub) provides a search interface to look up terms on popular websites such as Google, Bing, DuckDuckGo, Startpage, Ecosia, Rseek, Twitter, StackOverflow, RStudio Community, GitHub, and BitBucket. Upon calling a search_*() function, a browser window will open with the search results for the query.
After a year of dormacy, the searcher package is back with a new update! In this update, we’ve added two requested searcher portals: Ecosia and Rseek.
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