API for c97sr/learnidd
A collection of functions useful for the study of infectious disease dynamics

Global functions
DA_condition Man page Source code
H Man page Man page Source code
S Man page Source code
adm.apply.gen.model Source code
adm.apply.seed Man page Source code
adm.load.sheep.prep.sim Man page Source code
adm.offset.kernel Source code
adm.plot.farm.and.seeds Man page Source code
adm.plot.gen Man page Source code
adm.seed.sheep Man page Source code
adm.setup.aux.mat Man page Source code
adm.sheep.params Man page Source code
augment_data Man page Source code
calc_log_likelihood Man page Source code
calc_prediction_accuracy Man page Source code
calculateLogLikCluster_incubation Man page Source code
calculateLogLikCluster_transmission Man page Source code
calculateLogLik_incubation Man page Source code
comp_seir Man page Source code
extract_incidence Man page Source code
extract_predicted_points Man page Source code
extract_predicted_points_seir Man page Source code
extract_subset_prediction Man page Source code
extract_week_index Man page Source code
f.incub Man page Source code
fit_seir Man page Source code
h Source code
likelihood_profile_seir Man page Source code
linear_regression Man page Source code
logRatioProposal_DA Man page Source code
plot_incidence Man page Source code
plot_incidence_all Man page Source code
plot_likelihood_profile Man page Source code
run_MCMC Man page Source code
run_MCMC_DA Man page Source code
set_seir_params Source code
solve_seir_model Man page Source code
solve_seir_wrapper Man page Source code
subset_incidence_data Man page Source code
c97sr/learnidd documentation built on Jan. 12, 2025, 4:24 p.m.