An Implementation of the 'DoubleClick for Publishers' API

Functions to interact with the 'Google DoubleClick for Publishers (DFP)' API < https://developers.google.com/ad-manager/api/start> (recently renamed to 'Google Ad Manager'). This package is automatically compiled from the API WSDL (Web Service Description Language) files to dictate how the API is structured. Theoretically, all API actions are possible using this package; however, care must be taken to format the inputs correctly and parse the outputs correctly. Please see the 'Google Ad Manager' API reference < https://developers.google.com/ad-manager/api/rel_notes> and this package's website < https://stevenmmortimer.github.io/rdfp/> for more information, documentation, and examples.

Google Search Console R Client

Provides an interface with the Google Search Console, formally called Google Webmaster Tools.

Read Untidy Excel Files

Imports non-tabular from Excel files into R. Exposes cell content, position and formatting in a tidy structure for further manipulation. Tokenizes Excel formulas. Supports '.xlsx' and '.xlsm' via the embedded 'RapidXML' C++ library < https://rapidxml.sourceforge.net>. Does not support '.xlsb' or '.xls'.

Document Unit Tests Roxygen-Style

Much as 'roxygen2' allows one to document functions in the same file as the function itself, 'roxut' allows one to write the unit tests in the same file as the function. Once processed, the unit tests are moved to the appropriate directory. Currently supports 'testthat' and 'tinytest' frameworks. The 'roxygen2' package provides much of the infrastructure.

Bayesian Model Averaging

Package for Bayesian model averaging and variable selection for linear models, generalized linear models and survival models (cox regression).

Templated Reporting Workflows in Word and PowerPoint

Automated reporting in Word and PowerPoint can require customization for each organizational template. This package works around this by adding standard reporting functions and an abstraction layer to facilitate automated reporting workflows that can be replicated across different organizational templates.

Raster-Based Spatial Stratification Algorithms

Algorithms for the spatial stratification of landscapes, sampling and modeling of spatially-varying phenomena. These algorithms offer a simple framework for the stratification of geographic space based on raster layers representing landscape factors and/or factor scales. The stratification process follows a hierarchical approach, which is based on first level units (i.e., classification units) and second-level units (i.e., stratification units). Nonparametric techniques allow to measure the correspondence between the geographic space and the landscape configuration represented by the units. These correspondence metrics are useful to define sampling schemes and to model the spatial variability of environmental phenomena. The theoretical background of the algorithms and code examples are presented in Fuentes et al. (2022). .

Scientometric Analysis Minciencias

The target of 'margaret' is help to extract data from Minciencias to analyze scientific production in Colombia.

Functions to Explore L-Systems (Lindenmayer Systems)

L-systems or Lindenmayer systems are parallel rewriting systems which can be used to simulate biological forms and certain kinds of fractals. Briefly, in an L-system a series of symbols in a string are replaced iteratively according to rules to give a more complex string. Eventually, the symbols are translated into turtle graphics for plotting. Wikipedia has a very good introduction: en.wikipedia.org/wiki/L-system This package provides basic functions for exploring L-systems.

Spot R Functions & Packages

Helpers for parsing out the R functions and packages used in R scripts and notebooks.