mvr_proposal: Multivariate proposal function

In seroanalytics/serosolver: Inference Framework for Serological Data

Multivariate proposal function

Description

Given the current parameters and a covariance matrix, returns a vector for a proposed jump from a multivariate normal distribution. Takes into account parameter covariance and ensures containment condition with beta, if cov_mat0 (the identity matrix) is specified.

Usage

mvr_proposal(
  values,
  fixed,
  cov_mat,
  cov_mat0 = NULL,
  use_log = FALSE,
  beta = 0.05
)

Arguments

values	the vector of current parameter values
fixed	set of flags corresponding to the parameter vector indicating which parameters are fixed Takes into account parameter covariance and ensures containment condition with beta, if cov_mat0 (the identity matrix) is specified.
cov_mat	the 2D covariance matrix for all of the parameters
cov_mat0	optional, usually the identity matrix for theta
use_log	flag. If TRUE, propose on log scale
beta	Beta as in Rosenthal and Roberts 2009

Value

a parameter vector of a proposed move. Note that these may fall outside the allowable ranges.

See Also

Other proposals: inf_hist_swap_phi(), inf_hist_swap(), infection_history_symmetric(), univ_proposal()

seroanalytics/serosolver documentation built on Dec. 14, 2024, 5:33 a.m.