Package index • weave

All functions

Amv(): Observed-system matvec: (S K S^T + diag(noise)) v

M_inv(): Diagonal (Jacobi) preconditioner application

bounds(): Compute quantile bounds for GP-based count draws

data_complete(): Complete site-time combinations

data_initial_par(): Initialise model parameters

data_missing(): Drop sites with missing data

data_observed_summary(): Calculate observed summary statistics

data_order_index(): Order data and assign identifiers

data_process(): Process raw epidemiological data

fill_vector(): Fill observed values into a full vector

fit(): Fit hyperparmeters

get_spatial_distance(): Pairwise spatial distances

get_temporal_distance(): Pairwise temporal distances

gp_build_state(): Build state object

gp_draw(): One posterior draw of the intensity surface

gp_posterior_mean(): Posterior mean of the intensity surface

kdiag_from_factors(): Kronecker diadiagonalg

kron_mv(): Fast Kronecker–product matrix–vector multiply (times vary fastest)

pcg(): Preconditioned Conjugate Gradient (PCG) solver for the observed system

periodic_kernel(): Periodic kernel

quick_mvnorm(): Quick multivariate normal samples over two dimensions

quick_mvnorm_chol(): Quick multivariate normal samples over two dimensions (cholesky precomputed)

rbf_kernel(): Radial basis function kernel

regularise(): Add a small ridge to a square matrix

space_kernel(): Estimate the spatial kernel

time_kernel(): Estimate the temporal kernel