Create a distribution object for a set of uncorrelated
Gamma distributions
Euclidean norm of a vector
Univariate slice samplers
Eigendecomposition-based slice samplers
Summarize one MCMC chain
Eight schools distribution object
Create an R stub function for a sampler implemented in C
Sample with shrinking-rank slice sampling
Locate a symbol
Eigendecomposition-based hyperrectangle method
Test a gradient function
Adaptive Rejection Metropolis Sampler
Cholesky Update/Downdate
Build a sampler from transition functions
Compare MCMC samplers on distributions
A class representing a probability distribution
Compute the autocorrelation time of a chain
adaptive.metropolis.sample
Adaptive Metropolis
Sample with covariance-matching slice sampling
Plot the results of compare.samplers
Define a probability distribution object with C log-density
Create a cone distribution object
Gaussian distribution objects
Sample with nonadaptive-crumb slice sampling
Multivariate slice samplers
multivariate.metropolis.sample
Metropolis samplers
Create a distribution object for a random mixture of Gaussians
Define a probability distribution object
Funnel distribution object