Man pages for IanniMuliterno/EpidemicR
Stochastic modelling and inference for epidemics.

Avg_acc_probsDescribe the acceptance probabilities.
Beta_mat_formGenerate an infection rate matrix.
Dist_mat_clustClustered population distribution.
Dist_mat_edgeClustered edge population distribution.
Dist_mat_lattLattice population distribution (with buddy).
Dist_mat_linesSpreading lines population distribution.
Dist_mat_trialsMultiple lines population distribution.
Dist_mat_unifUniform population distribution.
Folded_drawDraw a parameter from a folded Normal distribution
GSE_simAn epidemic simulation
Hist_posteriorsPlot the trace plots of the accepted samples.
Initialise_2bInitialise the parameters and infection times.
integral_partCalculate the integral part of the infection likelihood.
interval_intersectCalculate the interval intersect.
log_likelihoodCalculate the log-likelihood for an epidemic, up to a...
MCMCMake inference on a General Stochastic Epidemic
MCMC_homoMake inference on a homogeneous General Stochastic Epidemic.
MCMC_reparamMake inference on a General Stochastic Epidemic.
MH_acceptCalculate the acceptance probability of a Metropolis-Hastings...
MH_accept_MRWCalculate the acceptance probability of a Metropolis-Hastings...
Plot_epidemicPlot a spatial epidemic.
Plot_tracePlot the trace plots of the accepted samples.
P_mat_formGenerate an proportion of maximum infection rate matrix.
prod_partCalculate the product part of the infection likelihood
Seed_finderFind a seed for the desired outbreak size
IanniMuliterno/EpidemicR documentation built on Oct. 30, 2019, 7:18 p.m.