Disclaimer and Acknowledgments | Introduction | Overview | A First Example | Arguments | Results | Status Codes | Function Typedefs | Constants | Error Actions | Inferring Return Types$^\dagger$ | R Functions as Lambdas | R Interface | Performance Illustration | Pass by Value and Reference | Using RcppArmadillo | Integration | Functions | Optional Arguments | Result | Status Codes | Example | Differentiation | Finite Differences | Richardson Extrapolated Finite Differences | Gradient | $$\frac | Jacobian | Hessian | Root-Finding | Bisection | Brent's Algorithm | Univariate Optimization | Golden Section Search | Brent's Algorithm | Multivariate Optimization | Nelder-Mead | BFGS | L-BFGS-B | Conjugate Gradient | Newton-Type Algorithm for Nonlinear Optimization | Matrix Operations | Apply | Outer | Example 1 | Example 2 | Matrix-Free Linear Solve | Which | Truncated Distributions | Typedefs | Density | CDF | Quantile | Variate Generation | Utilities | Formatted Print with Timestamp | References

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

Disclaimers | Introduction | Conway-Maxwell Poisson Distribution | Normalizing Constant | Density, Generation, CDF, and Quantile Functions | Expected Value and Variance | Zero-Inflated Conway-Maxwell Poisson Distribution | Density, Generation, CDF, and Quantile Functions | Expectation and Variance | Regression Modeling with CMP and ZICMP | CMP Regression | Freight Dataset | CMP Regression | Adjustments to Optim | Offset Term | Accessor Functions | Large Covariates | Large Outcomes | ZICMP Regression | Couple Dataset | ZICMP Regression | Comments about Results | Fixed Coefficients | Accessor Functions | Acknowledgements | References

Disclaimer and Acknowledgments | Introduction | Overview of the Package | Examples | Allocation for Fixed Overall Sample Size | Allocation for a Desired Precision | References