A CLI tool to create CTR (Nintendo 3DS) ROM images.

Automation tool to run R scripts if needed, based on last modified time. It comes with no package dependencies, organizational overhead, or structural requirements. In short: run an R script if underlying files have changed, otherwise do nothing.

This package provides a user-friendly tool for visualizing categorical or group movement.

This package provides a suite of tools for transforming an existing workflow into a self-documenting pipeline with very minimal upfront costs. Segments of the pipeline are specified in much the same way a Make rule is, by declaring an executable recipe (which might be an R script), along with the corresponding targets and dependencies. When the entire pipeline is run through, only those recipes that need to be executed will be. Meanwhile, execution metadata is captured behind the scenes for later inspection.

This package provides a user-friendly interface for the construction of Makefiles'.

Helper functions that interface with the system utilities to learn about the local build environment. Lets you explore make rules to test the local configuration, or query pkg-config to find compiler flags and libs needed for building packages with external dependencies. Also contains tools to analyze which libraries that a installed R package linked to by inspecting output from ldd in combination with information from your distribution package manager, e.g. rpm or dpkg'.

Make all elements of a character vector unique. Differs from make.unique by starting at 1 and allowing users to customise suffix format.

The PLT 'make' macro

Make a directory and its parents if needed - Think `mkdir -p`

This package provides functions that allow you to create your own color palette from an image, using mathematical algorithms.

This package creates an empty framework of files and directories for the "Load, Clean, Func, Do" structure described by Josh Reich.

Create dummy variables from categorical data. This package can convert categorical data (factor and ordered) into dummy variables and handle multiple columns simultaneously. This package enables to select whether a dummy variable for base group is included (for principal component analysis/factor analysis) or excluded (for regression analysis) by an option. makedummies function accepts data.frame', matrix', and tbl (tibble) class (by tibble package). matrix class data is automatically converted to data.frame class.

Tool for easy prior construction and visualization. It helps to formulates joint prior distributions for variance parameters in latent Gaussian models. The resulting prior is robust and can be created in an intuitive way. A graphical user interface (GUI) can be used to choose the joint prior, where the user can click through the model and select priors. An extensive guide is available in the GUI. The package allows for direct inference with the specified model and prior. Using a hierarchical variance decomposition, we formulate a joint variance prior that takes the whole model structure into account. In this way, existing knowledge can intuitively be incorporated at the level it applies to. Alternatively, one can use independent variance priors for each model components in the latent Gaussian model. Details can be found in the accompanying scientific paper: Hem, Fuglstad, Riebler (2024, Journal of Statistical Software, <doi:10.18637/jss.v110.i03>).

This package provides tools for Makefile execution powered by pure Python.

Create unit tests from a file of expressions

This package provides a tool for making fat OSX binaries (a portable lipo).