An Interface to Statistical Modeling Independent of Model Architecture (mosaicModel)
Provides functions for evaluating, displaying, and interpreting statistical models. The goal is to abstract the operations on models from the particular architecture of the model. For instance, calculating effect sizes rather than looking at coefficients. The package includes interfaces to both regression and classification architectures, including lm(), glm(), rlm() in ‘MASS’, random forests and recursive partitioning, k-nearest neighbors, linear and quadratic discriminant analysis, and models produced by the ‘caret’ package’s train(). It’s straightforward to add in other other model architectures.

Creation of Arrays by Mixed Integer Programming (DoE.MIParray)
CRAN’ package ‘DoE.base’ and non-‘CRAN’ packages ‘gurobi’ and ‘Rmosek’ (newer version than that on ‘CRAN’) are enhanced with functionality for the creation of optimized arrays for experimentation, where optimization is in terms of generalized minimum aberration. It is also possible to optimally extend existing arrays to larger run size. Optimization requires the availability of at least one of the commercial products ‘Gurobi’ or ‘Mosek’ (free academic licenses available for both). For installing ‘Gurobi’ and its R package ‘gurobi’, follow instructions at <http://…/gurobi-optimizer> and <http://…/r_api_overview.html>. For installing ‘Mosek’ and its R package ‘Rmosek’, follow instructions at <https://…/> and <http://…/install-interface.html>.

Line Maps (linemap)
Create maps made of lines. The package contains two functions: linemap() and getgrid(). linemap() displays a map made of lines using a data frame of gridded data. getgrid() transforms a set of polygons (sf objects) into a suitable data frame for linemap().

Headers for the ‘xtensor’ Library (xtensor)
The ‘xtensor’ C++ library for numerical analysis with multi-dimensional array expressions is provided as a header-only C++14 library. It offers an extensible expression system enabling lazy broadcasting; an API following the idioms of the C++ standard library; and tools to manipulate array expressions and build upon ‘xtensor’.

Distribution Free Multivariate Control Chart Based on Energy Test (EnergyOnlineCPM)
Provides a function for distribution free control chart based on the change point model, for multivariate statistical process control. The main constituent of the chart is the energy test that focuses on the discrepancy between empirical characteristic functions of two random vectors. This new control chart highlights in three aspects. Firstly, it is distribution free, requiring no knowledge of the random processes. Secondly, this control chart can monitor mean and variance simultaneously. Thirdly it is devised for multivariate time series which is more practical in real data application. Fourthly, it is designed for online detection (Phase II), which is central for real time surveillance of stream data. For more information please refer to O. Okhrin and Y.F. Xu (2017) <https://…/CPM102.pdf>.

Regular Expressions in ‘shiny’ Select Lists (regexSelect)
shiny’ extension that adds regular expression filtering capabilities to the choice vector of the select list.

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