Assertions to Check Properties of Variables (assertive.properties)
A set of predicates and assertions for checking the properties of variables, such as length, names and attributes. This is mainly for use by other package developers who want to include run-time testing features in their own packages. End-users will usually want to use assertive directly.
Bayesian 4 Parameter Item Response Model (fourPNO)
Estimate Lord & Barton’s four parameter IRT model with lower and upper asymptotes using Bayesian formulation described by Culpepper (2015).
Feature-Based Landscape Analysis of Continuous and Constraint Optimization Problems (flacco)
Contains tools and features, which can be used for an exploratory landscape analysis of continuous optimization problems. Those are able to quantify rather complex properties, such as the global structure, separability, etc., of continuous optimization problems.
Estimation of Conditional Quantiles using Optimal Quantization (QuantifQuantile)
Estimation of conditional quantiles using optimal quantization. Construction of an optimal grid of N quantizers, estimation of conditional quantiles and data driven selection of the size N of the grid. Graphical illustrations for the selection of N and of resulting estimated curves or surfaces when the dimension of the covariate is one or two.
Convert Between ‘WKT’ and ‘GeoJSON’ (wellknown)
Convert ‘WKT’ to ‘GeoJSON’ and ‘GeoJSON’ to ‘WKT’. Functions included for converting between ‘GeoJSON’ to ‘WKT’, creating both ‘GeoJSON’ features, and non-features, creating WKT from R objects (e.g., lists, data.frames, vectors), and linting ‘WKT’.