serocalculator1.4.0 package

Estimating Infection Rates from Serological Data

ab

kinetics of the antibody (ab) response (power function decay)

analyze_sims

Analyze simulation results

as_curve_params

Load antibody decay curve parameter

as_noise_params

Load noise parameters

as_pop_data

Load a cross-sectional antibody survey data set

as_sr_params

Load longitudinal seroresponse parameters

autoplot.curve_params

Graph antibody decay curves by antigen isotype

autoplot.pop_data

Plot distribution of antibodies

autoplot.seroincidence.by

Plot seroincidence.by log-likelihoods

autoplot.seroincidence

Plot the log-likelihood curve for the incidence rate estimate

autoplot.sim_results

Plot simulation results autoplot() method for sim_results objects

autoplot.summary.seroincidence.by

Plot method for summary.seroincidence.by objects

baseline

Substitute baseline values

check_pop_data

Check the formatting of a cross-sectional antibody survey dataset.

count_strata

Count observations by stratum

df_to_array

Convert a data.frame (or tibble) into a multidimensional array

df.to.array

Convert a data.frame (or tibble) into a multidimensional array

dot-nll

Calculate negative log-likelihood

est_seroincidence_by

Estimate Seroincidence

est_seroincidence

Find the maximum likelihood estimate of the incidence rate parameter

est.incidence.by

Estimate Seroincidence

est.incidence

Estimate Seroincidence

expect_snapshot_data

Snapshot testing for data.frame s

f_dev

Calculate negative log-likelihood (deviance) for one antigen:isotype p...

f_dev0

Calculate negative log-likelihood (deviance) for one antigen:isotype p...

fdev

Calculate negative log-likelihood (deviance)

get_biomarker_levels

Extract biomarker levels

get_biomarker_names_var

Get biomarker variable name

get_biomarker_names

Extract biomarker names column

get_values_var

Extract antibody measurement values

get_values

Get antibody measurement values

graph_loglik

Graph log-likelihood of data

graph_seroresponse_model_1

graph antibody decay curves by antigen isotype

graph.curve.params

Graph estimated antibody decay curves

ids_varname

Get person ID variable name

ids

Get person IDs

ldpar

extract a row from longitudinal parameter set

llik

Calculate log-likelihood

load_curve_params

Load antibody decay curve parameter samples

load_noise_params

Load noise parameters

load_pop_data

Load a cross-sectional antibody survey data set

load_sr_params

Load longitudinal seroresponse parameter samples

log_likelihood

Calculate log-likelihood

mk_baseline

generate random sample from baseline distribution

plot_curve_params_one_ab

Graph an antibody decay curve model

print.seroincidence.by

Print Method for seroincidence.by Object

print.seroincidence

Print Method for seroincidence Class

print.summary.seroincidence.by

Print Method for Seroincidence Summary Object

reexports

Objects exported from other packages

serocalculator_example

Get path to an example file

serocalculator-package

serocalculator: Estimating Infection Rates from Serological Data

set_id_var

Specify person ID column

sim_pop_data_multi

Simulate multiple data sets

sim_pop_data

Simulate a cross-sectional serosurvey with noise

sim.cs.multi

Simulate multiple data sets

sim.cs

Simulate a cross-sectional serosurvey with noise

simcs.tinf

collect cross-sectional data

simresp.tinf

simulate antibody kinetics of y over a time interval

strat_ests_barplot

Barplot method for summary.seroincidence.by objects

strat_ests_scatterplot

Scatterplot method for summary.seroincidence.by objects

strata.default

Extract the Strata attribute from an object, if present

strata

Extract Strata metadata from an object

stratify_data

Split data by stratum

sub-.seroincidence.by

Extract or replace parts of a seroincidence.by object

summary.pop_data

Summarize cross-sectional antibody survey data

summary.seroincidence.by

Summary Method for "seroincidence.by" Objects

summary.seroincidence

Summarizing fitted seroincidence models

warn_missing_strata

Warn about missing stratifying variables in a dataset

Translates antibody levels measured in cross-sectional population samples into estimates of the frequency with which seroconversions (infections) occur in the sampled populations. Replaces the previous `seroincidence` package.

  • Maintainer: Kristina Lai
  • License: GPL-3
  • Last published: 2025-12-11