Multivariate normal Metropolis-Hastings update

mvnmh_update(
  param_blocks,
  ind,
  iter,
  parmat,
  dat,
  path,
  pathmat_prop,
  tparam,
  census_times,
  flow_matrix,
  stoich_matrix,
  censusmat,
  emitmat,
  param_vec,
  param_inds,
  const_inds,
  tcovar_inds,
  initdist_inds,
  param_update_inds,
  census_indices,
  event_inds,
  measproc_indmat,
  forcing_inds,
  forcing_tcov_inds,
  forcings_out,
  forcing_transfers,
  proc_pointer,
  set_pars_pointer,
  d_meas_pointer,
  do_prevalence,
  step_size,
  svd_d = NULL,
  svd_U = NULL,
  svd_V = NULL
)

Arguments

param_blocks: list of parameter blocks
ind: index of parameter block to be updated
iter: MCMC iteration
dat: data matrix
path: path list
pathmat_prop: matrix for proposed paths
tparam: list of time-varying parameters
flow_matrix: flow matrix
stoich_matrix: stoichiometry matrix
censusmat: census matrix
emitmat: emission matrix
param_vec: parameter vector for use in emission distribution
initdist_inds: indices of initial compartment counts
census_indices: indices where the path should be censused
event_inds: event indices
measproc_indmat: measurement process indices
forcing_inds: forcing indices
forcing_tcov_inds: time varying covariate forcings
forcings_out: matrix with outflow from forcings
forcing_transfers: transfer matrix
proc_pointer: C++ pointer for latent process
d_meas_pointer: C++ pointer for emission distribution
do_prevalence: should prevalence be computed
step_size: initial step size for ODE solvers
svd_d, svd_U, svd_V: SVD objects for LNA, NULL if using the ODE approx
params_cur: matrix with current parameters
params_prop: matrix with proposed parameters
times: vector of census times

Value

update the model parameters, path, and likelihood