Joyplots in ‘ggplot2’ (ggjoy)
Joyplots provide a convenient way of visualizing changes in distributions over time or space. This package enables the creation of such plots in ‘ggplot2’.

Training Run Directories for ‘TensorFlow’ (tfruns)
Create and manage unique directories for each ‘TensorFlow’ training run. Provides a unique, timestamped directory for each run along with functions to retrieve the directory of the latest run or latest several runs.

Estimation of Production Functions (estprod)
Estimation of production functions by the Olley-Pakes and Levinsohn-Petrin methodologies. The package aims to reproduce the results obtained with the Stata’s user written opreg <http://…/article.html?article=st0145> and levpet <http://…/article.html?article=st0060> commands. The first was originally proposed by Olley, G.S. and Pakes, A. (1996) <doi:10.2307/2171831>. And the second by Levinsohn, J. and Petrin, A. (2003) <doi:10.1111/1467-937X.00246>.

Low-Cost Anonymous Functions (nofrills)
Provides a compact variation of the usual syntax of function declaration, in order to support Tidyverse-style quasiquotation of a function’s arguments and body.

Datasets for Spatial Analysis (spData)
Diverse spatial datasets for demonstrating, benchmarking and teaching spatial data analysis. It includes R data of class sf (defined by the package ‘sf’). Unlike other spatial data packages such as ‘rnaturalearth’ and ‘maps’, it also contains data stored in a range of file formats including GeoJSON, ESRI Shapefile and GeoPackage. Some of the datasets are designed to illustrate specific analysis techniques. cycle_hire_osm, for example, is designed to illustrate point pattern analysis techniques.