Package: vws 0.4.0

Disclaimer and Acknowledgments | Introduction | A Brief Review of Vertical Weighted Strips | Constant Majorizer | Linear Majorizer | Knot Selection | Self Tuning | Overview of Package | Design | Typical Workflow | Lambdas | Computations on the Log-Scale | Optimization | C++ API | Typedefs and Aliases | Finite Mixture Proposal | Class Definition | Constructor | Distribution Methods | Accessors | Iterators | Refining the Proposal | Coarsening the Proposal | Summary Methods | Region Base Class | Region on Real-Valued Support with Constant Majorizer | Constructors | Methods | Region on Integer-Valued Support with Constant Majorizer | Constructors | Univariate Helper | Rejection Sampling | Without Tuning | With Tuning | Additional Arguments | Results | Optimization on an Interval | Log-Scale Arithmetic | Generating from a Discrete Distribution | Categorical Distribution | Gumbel Distribution | Example: Von Mises Fisher Distribution | Constant Majorizer with Numerical Optimization | Constant Majorizer with Custom Optimization | Linear Majorizer | Example: Privacy Protected Data | Constant Majorizer with Numerical Optimization | Constant Majorizer with Custom Optimization | Linear Majorizer | Example: Bessel Count Distribution | Constant Majorizer with Numerical Optimization | Constant Majorizer with Custom Optimization | Linear Majorizer | Persistent Proposals in R | External Pointers | Modules | Example: Privacy Protected Data and Sampling within Gibbs | Gibbs Sampler in R | Gibbs Sampler in C++ | References