**A Toolkit for PDF Files** (**staplr**)

Provides function to manipulate PDF files: merge multiple PDF files into one; Splits a single input PDF document into individual pages; remove selected pages from a file; rename multiple files in a directory.

**Beautiful Graphical Representation of Multiplication Tables on a Modular Circle** (**rusk**)

By placing on a circle 10 points numbered from 1 to 10, and connecting them by a straight line to the point corresponding to its multiplication by 2. (1 must be connected to 1 * 2 = 2, point 2 must be set to 2 * 2 = 4, point 3 to 3 * 2 = 6 and so on). You will obtain an amazing geometric figure that complicates and beautifies itself by varying the number of points and the multiplication table you use.

**Kernel Density Estimation with Parametric Starts and Asymmetric Kernels** (**kdensity**)

Handles univariate non-parametric density estimation with parametric starts and asymmetric kernels in a simple and flexible way. Kernel density estimation with parametric starts involves fitting a parametric density to the data before making a correction with kernel density estimation, see Hjort & Glad (1995) <doi:10.1214/aos/1176324627>. Asymmetric kernels make kernel density estimation more efficient on bounded intervals such as (0, 1) and the positive half-line. Supported asymmetric kernels are the gamma kernel of Chen (2000) <doi:10.1023/A:1004165218295>, the beta kernel of Chen (1999) <doi:10.1016/S0167-9473(99)00010-9>, and the copula kernel of Jones & Henderson (2007) <doi:10.1093/biomet/asm068>. User-supplied kernels, parametric starts, and bandwidths are supported.

**An HR Analytics Toolkit** (**hR**)

Manipulate and visualize people data in meaningful and common ways. This package is meant for Human Resources analytics (often referred to as talent analytics or people analytics).

**Projection Predictive Feature Selection** (**projpred**)

Performs projection predictive feature selection for generalized linear models (see, e.g., Piironen and Vehtari, 2017, <doi:10.1007/s11222-016-9649-y>). The package is compatible with ‘rstanarm’ package, but other reference models can also be used. See the package vignette for more information and examples.

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