proposals: MCMC proposal distributions
In pomp: Statistical Inference for Partially Observed Markov Processes

Functions to construct proposal distributions for use with MCMC methods.

1 2	mvn.diag.rw(rw.sd) mvn.rw(rw.var)

`rw.sd`	named numeric vector; random-walk SDs for a multivariate normal random-walk proposal with diagonal variance-covariance matrix.
`rw.var`	square numeric matrix with row- and column-names. Specifies the variance-covariance matrix for a multivariate normal random-walk proposal distribution.

Functions taking a single argument. Given a parameter vector, each returns a single draw from the corresponding proposal distribution.

pomp documentation built on May 2, 2019, 4:09 p.m.