Man pages for tkmckenzie/ikde
Iterative Kernel Density Estimation
| bridge | Bridge sampling |
| build.model | Build Stan model |
| create.declaration | Creates variable declarations for Stan programs |
| create.restricted.models | Creates restricted models for IKDE |
| dbern | Bernoulli distribution function |
| define.model | Define Stan model |
| evaluate.expression | Evaluate expression from Stan program |
| evaluate.likelihood | Stan model likelihood evaluation |
| evaluate.posterior | Stan model posterior evaluation |
| evaluate.priors | Stan model prior evaluation |
| evaluate.statement | Evaluate sampling statement from Stan program |
| fit.model | Fits Stan model |
| gibbs.lm | Linear model Gibbs sampling |
| ikde | Iterative kernel density estimation |
| lm.generated | Randomly generated multivariate linear model data |
| modified.exp.lower | Modified exponential function with lower bound |
| modified.exp.lower.inv | Modified exponential function with lower bound |
| modified.exp.upper | Modified exponential function with upper bound |
| modified.exp.upper.inv | Modified exponential function with upper bound |
| prostatic.nodes | Prostatic nodal development data |
| sigmoid | Sigmoid function and gradient |
| sigmoid.inv | Inverse sigmoid function and gradient |
| stan.dist.to.r.dist | Mapping between Stan and R distribution functions |
| stan.multiply | Function to replicate multiplication in Stan |
| stan.operator.to.r.operator | Mapping between Stan and R operators |
