add_thresholds          Visualize positive threshold at different
                        dilution factors
age_time_model          Age-time varying seroprevalence
compare_models          Generate table of metrics for model comparison
compute_ci.age_time_model
                        Compute confidence interval for time age model
compute_ci.default      Compute confidence interval for a model of
                        serosv
compute_ci.fp_model     Compute confidence interval for fractional
                        polynomial model
compute_ci.hierarchical_bayesian_model
                        Compute 95% credible interval for hierarchical
                        Bayesian model
compute_ci.lp_model     Compute confidence interval for local
                        polynomial model
compute_ci.mixture_model
                        Compute confidence interval for mixture model
compute_ci.penalized_spline_model
                        Compute confidence interval for
                        penalized_spline_model
compute_ci.weibull_model
                        Compute confidence interval for Weibull model
correct_prevalence      Estimate the true sero prevalence using
                        Frequentist/Bayesian estimation
est_foi                 Estimate force of infection
estimate_from_mixture   Estimate seroprevalence and FOI from a fixed
                        mixture model
farrington_model        The Farrington (1990) model.
find_best_fp_powers     Returns the powers of the fractional polynomial
                        model which has the lowest deviance score.
fp_model                A fractional polynomial model.
hav_be_1993_1994        Hepatitis A serological data from Belgium in
                        1993 and 1994 (aggregated)
hav_be_2002             Hepatitis A serological data from Belgium in
                        2002 (line listing)
hav_bg_1964             Hepatitis A serological data from Bulgaria in
                        1964 (aggregated)
hbv_ru_1999             Hepatitis B serological data from Russia in
                        1999 (aggregated)
hcv_be_2006             Hepatitis C serological data from Belgium in
                        2006 (line listing)
hierarchical_bayesian_model
                        Hierarchical Bayesian Model
lp_model                A local polynomial model.
mixture_model           Fit a mixture model to classify serostatus
mumps_uk_1986_1987      Mumps serological data from the UK in 1986 and
                        1987 (aggregated)
parvob19_be_2001_2003   Parvo B19 serological data from Belgium from
                        2001-2003 (line listing)
parvob19_ew_1996        Parvo B19 serological data from England and
                        Wales in 1996 (line listing)
parvob19_fi_1997_1998   Parvo B19 serological data from Finland from
                        1997-1998 (line listing)
parvob19_it_2003_2004   Parvo B19 serological data from Italy from
                        2003-2004 (line listing)
parvob19_pl_1995_2004   Parvo B19 serological data from Poland from
                        1995-2004 (line listing)
pava                    Monotonize seroprevalence
penalized_spline_model
                        Penalized Spline model
plot.age_time_model     Plot output for age_time_model
plot.estimate_from_mixture
                        plot() overloading for result of
                        estimate_from_mixture
plot.farrington_model   plot() overloading for Farrington model
plot.fp_model           plot() overloading for fractional polynomial
                        model
plot.hierarchical_bayesian_model
                        plot() overloading for
                        hierarchical_bayesian_model
plot.lp_model           plot() overloading for local polynomial model
plot.mixture_model      plot() overloading for mixture model
plot.penalized_spline_model
                        plot() overloading for penalized spline
plot.polynomial_model   plot() overloading for polynomial model
plot.weibull_model      plot() overloading for Weibull model
plot_corrected_prev     Plot output for corrected_prevalence
plot_gcv                Plotting GCV values with respect to different
                        nn-s and h-s parameters.
plot_standard_curve     Visualize standard curves for each plate
plot_titer_qc           Quality control plot
polynomial_model        Polynomial models
predict.age_time_model
                        Predict from the age_time_mdoel
predict.farrington_model
                        Prediction for serosv Farrington model
predict.fp_model        Prediction for serosv fractional polynomial
                        model
predict.hierarchical_bayesian_model
                        Predict from an hierarchical bayesian model
predict.lp_model        Prediction for serosv local polynomial model
predict.penalized_spline_model
                        Prediction for serosv penalized spline model
predict.polynomial_model
                        Prediction for serosv polynomial model
predict.weibull_model   Prediction for serosv Weibull model
rubella_mumps_uk        Rubella - Mumps data from the UK (aggregated)
rubella_uk_1986_1987    Rubella serological data from the UK in 1986
                        and 1987 (aggregated)
serosv-package          serosv: model infectious disease parameters
set_plot_style          Helper to adjust styling of a plot
standardize_data        Standardize raw serological test data for titer
                        conversion
tb_nl_1966_1973         Tuberculosis serological data from the
                        Netherlands 1966-1973 (aggregated)
to_titer                Convert assay readings to titers
transform_data          Aggregate data
vzv_be_1999_2000        VZV serological data from Belgium (Flanders)
                        from 1999-2000 (aggregated)
vzv_be_2001_2003        VZV serological data from Belgium from
                        2001-2003 (line listing)
vzv_parvo_be            VZV and Parvovirus B19 serological data in
                        Belgium (line listing)
weibull_model           The Weibull model.
