add_noise | Add noise to a titre observation |
add_noise_serosolver | Add noise |
calc_deviance | Deviance |
calc_post_mean | Posterior mean |
calc_post_var | Posterior variance |
calculate_BIC | BIC calculation |
calculate_DIC | DIC |
calculate_lik_matrix | Calculate per data point likelihood matrix |
calculate_loo | Calculate LOOIC using loo package |
calculate_WAIC | WAIC using the pwaic2 in Gelman 2013 |
calculate_x | Antigenic distance calc |
convert_options_to_runName | Convert options to runName |
convert_runName_to_options | Convert runName string |
create_data | Create simulated titre data |
create_model_func | Create model function pointer |
create_model_group_func | Create model function pointer groups |
create_model_group_func_cpp | Create model function pointer cpp implementation |
exampleExposureTab | Example Exposure Table Exposure input table used to generate... |
exampleParTab | Example Parameter Table |
exposure_times | Exposure times group Experimental group index exposure... |
ferret_titres | Ferret titre data group Experimental group index strain... |
fromUnitScale | Converts to linear scale |
generate_prediction_intervals | Generate prediction intervals from MCMC chain |
get_best_pars | Best pars |
get_index_pars | Index pars |
get_titre_labels | Get titre data labels |
model_func | Model solver for one group |
model_func_group_cpp | Model calculation cpp implementation |
model_func_groups | Multiple group model trajectory |
model_trajectory | Model Model trajectory calc |
model_trajectory_cpp | Model trajectory calc cpp |
mvr_proposal | Multivariate proposal function |
norm_error | Discretised normal error |
obs_error | Observation error matrix solver |
obs_likelihood | Observation error function |
parameter_descriptions | Describe model parameters |
parTab_modification | Modify parameter table |
plot_single_fit | Plot single trajectory model fit |
posterior_func_group_cpp | Posterior calculation cpp implementation |
protect | Protect function |
read_ferret_data | Read in ferret data |
run_MCMC | Adaptive Metropolis-within-Gibbs Random Walk Algorithm. |
scaletuning | Scale step sizes |
toUnitScale | Converts to unit scale |
univ_proposal | MCMC proposal function |
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