+.pk                    Add a 'pkproto' object to a 'pk' object
-.pk                    Subtract a pkproto object from a pk object
AAFE                    AAFE()
AAFE.default            Default method for AAFE()
AAFE.pk                 Calculate absolute average fold error (AAFE)
AFE                     AFE()
AFE.default             Default method for AFE()
AFE.pk                  Calculate average fold error
AIC.pk                  Akaike information criterion
BIC.pk                  Bayesian information criterion
add_pk                  Add various 'pkproto' objects to a 'pk' object
auc_1comp               Analytic AUC for 1-compartment model
auc_1comp_cl            Analytic AUC for 1-compartment model with
                        specific clearance
auc_2comp               Analytical AUC for the 2-compartment model
auc_flat                AUC for flat model
auto_units              Automatically select new time units
calc_hessian            Calculate Hessian
calc_nca                Non-compartmental analysis
calc_rmse               Calculate RMSE (root mean squared error)
calc_rsq                Calculate r-squared for observed vs. predicted
                        values
calc_sds_alerts         Calculate parameter SDs
check_method            Check methods
check_model             Check models
check_newdata           Check new data
check_params_1comp      Check 1-compartment model parameters
check_params_1comp_cl   Check 1-compartment model parameters
check_params_2comp      Check 2-compartment model parameters
check_params_flat       Check flat model parameters
check_required_status   Check required status
check_required_status.default
                        Default method for checking required status
check_required_status.pk
                        Check required status
coef.pk                 Get coefficients
coef_sd                 Coefficient standard deviations
coef_sd.default         Coefficient standard deviation default
coef_sd.pk              Get coefficient standard deviations
combined_sd             Combined standard deviation
compare_models          Model comparison
compare_models.default
                        Default method for compare_models()
compare_models.pk       Model comparison for [pk()] objects
conc_scale_use          Get concentration scalings
convert_summary_to_log10
                        Convert sample mean and SD to log10-scale
convert_time            Helper function to convert time units
cp_1comp                Analytical 1-compartment model
cp_1comp_cl             Analytical 1-compartment model with specific
                        clearance
cp_2comp                Analytical 2-compartment model
cp_2comp_dt             Time derivative of analytical 2-compartment
                        model
cp_flat                 Flat model
cvt                     CvTdb data
cvt_date                CvTdb download date
data_summary            data_summary()
data_summary.default    Default method for data_summary()
data_summary.pk         Data summary for a 'pk' object
dlnorm_summary          Log-normal distribution density function for
                        summary data
dnorm_summary           Normal distribution density function for
                        summary data
do_data_info            do_data_info generic
do_data_info.default    do_data_info default method
do_data_info.pk         calculate summary data info
do_fit                  Fitting
do_fit.default          do_fit default method
do_fit.pk               Do fitting
do_prefit               Prefitting
do_prefit.default       do_prefit default method
do_prefit.pk            Do pre-fitting
do_preprocess           Preprocess data generic
do_preprocess.default   do_preprocess default method
do_preprocess.pk        Do pre-processing
eval_tkstats            eval_tkstats()
eval_tkstats.default    Default method for eval_tkstats()
eval_tkstats.pk         Evaluate TK statistics
facet_data              Facet a PK fit
fill_params_1comp       Fill parameters for 1-compartment model
fill_params_1comp_cl    Fill parameters for 1-compartment model with
                        specific clearance
fill_params_2comp       Fill parameters for 2-compartment model
fill_params_flat        Fill parameters for flat model
fit_group               Fit a single group of data
fold_error              Fold error
fold_error.default      fold_error default method
fold_error.pk           Fold errors
get_data                get_data()
get_data.default        Default method for get_data()
get_data.pk             Get data
get_data_group          get_data_group()
get_data_group.default
                        Default method for get_data_group()
get_data_group.pk       Get data grouping
get_data_info           get_data_info()
get_data_info.default   Default method for get_data_info()
get_data_info.pk        Get data_info
get_data_original       get_data_original()
get_data_original.default
                        Default method for get_data_original()
get_data_original.pk    Get data_original
get_data_sigma_group    get_data_sigma_group()
get_data_sigma_group.default
                        Default method for get_data_sigma_group()
get_data_sigma_group.pk
                        Get data_sigma_group
get_data_summary        get_data_summary()
get_data_summary.default
                        Default method for get_data_summary()
get_elbow               Get an elbow point
get_error_group         get_error_group()
get_error_group.default
                        Default method for get_error_group()
get_error_group.pk      Get error group
get_fit                 get_fit()
get_fit.default         Default method for get_fit()
get_fit.pk              Get fits from a 'pk' object
get_hessian             get_hessian()
get_hessian.default     Default method for get_hessian()
get_hessian.pk          Get Hessian matrixes
get_mapping             get_mapping()
get_mapping.default     Default method for get_mapping()
get_mapping.pk          Get mapping
get_nca                 get_nca()
get_nca.default         Default method for get_nca()
get_nca.pk              Get NCA
get_params_1comp        Get parameters for 1-compartment model
get_params_1comp_cl     Get parameters for 1-compartment model with
                        clearance assumption
get_params_1comp_fup    Get parameters for 1-compartment model with
                        clearance assumption
get_params_2comp        Get parameters for 2-compartment model
get_params_flat         Get parameters to be optimized for flat model
get_peak                Find the peak of a data series
get_prefit              get_prefit()
get_prefit.default      Default method for get_prefit()
get_prefit.pk           Get prefit
get_scale_conc          get_scale_conc()
get_scale_conc.default
                        Default method for get_scale_conc()
get_scale_conc.pk       Get scale_conc
get_scale_time          get_scale_time()
get_scale_time.default
                        Default method for get_scale_time()
get_scale_time.pk       Get scale_time
get_settings_data_info
                        get_settings_data_info()
get_settings_data_info.default
                        Default method for get_settings_data_info()
get_settings_data_info.pk
                        Get settings_data_info
get_settings_optimx     get_settings_optimx()
get_settings_optimx.default
                        Default method for get_settings_optimx()
get_settings_optimx.pk
                        Get settings_optimx
get_settings_preprocess
                        get_settings_preprocess()
get_settings_preprocess.default
                        Default method for get_settings_preprocess()
get_settings_preprocess.pk
                        Get settings_preprocess
get_starts_1comp        Get starting values for 1-compartment model
get_starts_1comp_cl     Get starting values for 1-compartment model
                        with specific clearance
get_starts_1comp_fup    Get starting values for 1-compartment model
                        with specific clearance
get_starts_2comp        Get starting values for 2-compartment model
get_starts_flat         Get starting values for flat model
get_stat_error_model    get_stat_error_model()
get_stat_error_model.default
                        Default method for get_stat_error_model()
get_stat_error_model.pk
                        Get stat_error_model
get_stat_model          get_stat_model()
get_stat_model.default
                        Default method for get_stat_model()
get_stat_model.pk       Get stat_model
get_status              Get status
get_status.default      Default method for getting status
get_status.pk           Check status of a 'pk' object
get_tkstats             Get TK stats
get_tkstats.default     Default method for get_tkstats()
get_tkstats.pk          Get TK stats
get_winning_model       get_winning_model()
get_winning_model.default
                        Default method for get_winning_model()
get_winning_model.pk    Get winning model
hess_sd1                Inverse diagonal, method 1
hess_sd2                Inverse diagonal, method 2
ignore_unused_imports   Ignore unused imports
is.pk                   Check whether an object is of class 'pk'
is.pk_faceted           Check whether an object is of class
                        'pk_faceted'
is.pk_scales            Is an object class 'pk_scales'?
is.pkproto              Is an object pkproto?
logLik.pk               Log-likelihood
log_likelihood          Log-likelihood
mapping                 New mapping
midpt_log10             Log10-scaled midpoint
model_1comp             1-compartment model
model_1comp_cl_nonrest
                        1-compartment model that assumes
                        non-restrictive clearance
model_1comp_cl_rest     1-compartment model that assumes restrictive
                        clearance
model_1comp_fup         1-compartment model that assumes restrictive
                        clearance optimizes Fup
model_2comp             2-compartment model
model_flat              Flat model
nca                     nca()
nca.default             Default method for nca()
nca.pk                  NCA for a 'pk' object
pk                      Create a new 'pk' object
pk_add                  Add a 'pkproto' object to a 'pk' object
pk_add.default          Add pkproto object default method
pk_add.pk_facet_data    Add facet_data()
pk_add.pk_scales        Add a 'pk_scales' object to a 'pk' object.
pk_add.pk_settings_data_info
                        Add a 'pk_settings_data_info' object.
pk_add.pk_settings_optimx
                        Add a 'pk_settings_optimx' object.
pk_add.pk_settings_preprocess
                        Add a 'pk_settings_preprocess' object.
pk_add.pk_stat_error_model
                        Add a 'pk_stat_error_model' object.
pk_add.pk_stat_model    Add a 'pk_stat_model' object.
pk_add.uneval           Add an 'uneval' object
pk_model                Create a new 'pk_model' object
pk_subtract             Subtract a 'pkproto' object from a 'pk' object
pk_subtract.default     Subtract pkproto object default method
pk_subtract.pk_stat_model
                        Subtract a 'pk_stat_model' object.
pkdataset_nheerlcleaned
                        Toxicokinetic data from the "Concentration vs.
                        Time Database"
plot.pk                 Plot a [pk()] object.
predict.pk              Get predictions
print.pk                Print a user-friendly version of a 'pk' object
rename2_cvt             Convert invivoPKfit output table names to the
                        CvTdb names
residuals.pk            Get residuals
rmse                    Root mean squared error (RMSE)
rmse.default            Root mean squared error (RMSE) default method
rmse.pk                 Root mean squared error
rowwise_calc_percentages
                        Helper function for calculating percentages of
                        count data, by row
rsq                     rsq()
rsq.default             Default method for rsq()
rsq.pk                  Calculate R-squared for observed vs. predicted
                        values
scale_conc              Scale concentrations
scale_time              Scale times
settings_data_info      Data info settings
settings_optimx         'optimx' optimizer settings
settings_preprocess     Data preprocessing settings
stat_error_model        Error model
stat_model              Add PK model(s) to be fitted
status_data_info        Status ID for data summary info
status_fit              Status ID for fitting
status_init             Status ID for initialization
status_prefit           Status ID for pre-fitting
status_preprocess       Status ID for preprocessing
subtract_pk             Subtract various 'pkproto' objects from a 'pk'
                        object
summary.pk              Print summary of a 'pk' object
time_conversions        Time conversion table
time_units              Allowable time units
tkstats_1comp           Toxicokinetic statistics for 1-compartment
                        model
tkstats_1comp_cl        Toxicokinetic statistics for 1-compartment
                        model with specific clearance
tkstats_2comp           Toxicokinetic statistics for 1-compartment
                        model
tkstats_flat            TK stats for flat model
transformed_params_2comp
                        Transformed parameters for 2-compartment model
twofold_test            twofold_test()
twofold_test.default    Default method for twofold_test()
twofold_test.pk         Evaluate whether data and predictions are
                        within two-fold of mean or concentration,
                        respectively
