Analysis-class          'Analysis' Class
BaselineDataFrame-class
                        Baseline Data Frame Object
BaselineDataList-class
                        Baseline Data Frame List
BaselineObject-class    'BaselineObject' class for data simulation
BinaryOutcome-class     'BinaryOutcome' class
Borrowing-class         'Borrowing' Class
BorrowingFull-class     'BorrowingFull' class
BorrowingHierarchicalCommensurate-class
                        'BorrowingHierarchicalCommensurate' class
BorrowingNone-class     'BorrowingNone' class
ContinuousOutcome-class
                        'ContinuousOutcome' class
Covariates-class        'Covariate' Class
DataSimCutOff-class     Cut Off Object
DataSimEnrollment-class
                        Enrollment Object
DataSimEvent-class      Event Time Distribution Object
DataSimFixedExternalData-class
                        Fixed External Control Data Object
DataSimObject-class     Data Simulation Object Class
MCMCSimulationResult-class
                        'MCMCSimulationResult' Class
Outcome-class           'Outcome' class
OutcomeBinaryLogistic-class
                        'OutcomeBinaryLogistic' class
OutcomeContinuousNormal-class
                        'OutcomeContinuousNormal' class
OutcomeSurvExponential-class
                        'OutcomeSurvExponential' Class
OutcomeSurvPEM-class    'OutcomeSurvPEM' Class
OutcomeSurvWeibullPH-class
                        'OutcomeSurvWeibullPH' Class
Prior-class             'Prior' Class
PriorBernoulli-class    'PriorBernoulli' Class
PriorBeta-class         'PriorBeta' Class
PriorCauchy-class       'PriorCauchy' Class
PriorExponential-class
                        'PriorExponential' Class
PriorGamma-class        'PriorGamma' Class
PriorHalfCauchy-class   'PriorHalfCauchy' Class
PriorHalfNormal-class   'PriorHalfNormal' Class
PriorNormal-class       'PriorNormal' Class
PriorPoisson-class      'PriorPoisson' Class
SimBorrowingList-class
                        'SimBorrowingList' Class
SimCovariateList-class
                        'SimCovariateList' Class
SimCovariates-class     'SimCovariates' Class
SimDataList-class       'SimDataList' Class
SimOutcomeList-class    'SimOutcomeList' Class
SimSampleSize-class     'SimSampleSize' Class
SimTreatmentList-class
                        'SimTreatmentList' Class
SimVar-class            'SimVar' Class
SimVarBin-class         'SimVarBin' class
SimVarCont-class        'SimVarCont' class
Simulation-class        'Simulation' Class
TimeToEvent-class       'TimeToEvent' class
Treatment-class         'Treatment' Class
UniformPrior-class      'UniformPrior' Class
add_covariates          Add Covariates for Model Adjustment
as_data_frame           Coerce a 'psborrow2' object to a data frame
baseline_covariates     Specify Correlated Baseline Covariates
bernoulli_prior         Legacy function for the bernoulli prior
beta_prior              Legacy function for the beta prior
bin_var                 Create binary covariate
binary_cutoff           Binary Cut-Off Transformation
borrowing_details       Legacy function for specifying borrowing
                        details
borrowing_full          Full borrowing
borrowing_hierarchical_commensurate
                        Hierarchical commensurate borrowing
borrowing_none          No borrowing
build_model_string      Build the model string by interpolating the
                        Stan template
c                       Combine objects in 'psborrow2'
cauchy_prior            Legacy function for the cauchy prior
check_cmdstanr          Check Stan
check_data_matrix_has_columns
                        Check Data Matrix for Required Columns
check_fixed_external_data
                        Create a Fixed External Data Object
cont_var                Create continuous covariate
covariance_matrix       Create Covariance Matrix
create_alpha_string     Create alpha string
create_analysis_obj     Compile MCMC sampler using STAN and create
                        analysis object
create_baseline_object
                        Create Baseline Data Simulation Object
create_data_matrix      Create Data Matrix
create_data_simulation
                        Data Simulation
create_event_dist       Specify a Time to Event Distribution
create_simulation_obj   Compile MCMC sampler using STAN and create
                        simulation object
create_tau_string       Create tau string
custom_enrollment       Create a 'DataSimEnrollment' Object
cut_off_funs            Cut Off Functions
enrollment_constant     Constant Enrollment Rates
eval_constraints        Evaluate constraints
example_matrix          Example data matrix
example_surv            Simulated Survival Data
exp_surv_dist           Legacy function for the exponential survival
                        distribution
exponential_prior       Legacy function for the exponential prior
gamma_prior             Legacy function for the gamma prior
generate                Generate Data from Object
generate,BaselineObject-method
                        Generate Data for a 'BaselineObject'
generate,DataSimObject-method
                        Generate Data for a 'DataSimObject'
get_cmd_stan_models     Get 'CmdStanModel' objects for
                        'MCMCSimulationResults'
get_data                Get Simulated Data from 'SimDataList' object
get_prior_string_covariates
                        Get prior string for all covariates
get_quantiles           Get Quantiles of Random Data
get_results             Get results for 'MCMCSimulationResults' objects
get_stan_code           Get method for Stan model
get_vars                Get Variables
half_cauchy_prior       Legacy function for the half-cauchy prior
half_normal_prior       Legacy function for the normal half prior
load_and_interpolate_stan_model
                        Load and interpolate Stan model
load_stan_file          Load a Stan 'psborrow2' template
logistic_bin_outcome    Legacy function for binary logistic regression
mcmc_sample             Sample from Stan model
normal_prior            Legacy function for the normal prior
outcome_bin_logistic    Bernoulli distribution with logit
                        parametrization
outcome_cont_normal     Normal Outcome Distribution
outcome_surv_exponential
                        Exponential survival distribution
outcome_surv_pem        Piecewise exponential survival distribution
outcome_surv_weibull_ph
                        Weibull survival distribution (proportional
                        hazards formulation)
plot                    Plot Prior Objects
plot_pdf                Plot Probability Density Function Values
plot_pmf                Plot Probability Mass Function Values
poisson_prior           Legacy function for the poisson prior
possible_data_sim_vars
                        Get All Variable Names in Simulated Data Model
                        Matrix
prior_bernoulli         Prior bernoulli distribution
prior_beta              Prior beta distribution
prior_cauchy            Prior cauchy distribution
prior_exponential       Prior exponential distribution
prior_gamma             Prior gamma distribution
prior_half_cauchy       Prior half-cauchy distribution
prior_half_normal       Prior half-normal distribution
prior_normal            Prior normal distribution
prior_poisson           Prior poisson distribution
rename_draws_covariates
                        Rename Covariates in 'draws' Object
set_cut_off             Set Clinical Cut Off Rule
set_dropout             Set Drop Out Distribution
set_enrollment          Set Enrollment Rates for Internal and External
                        Trials
set_transformations     Set transformations in 'BaselineObject' objects
set_transformations,BaselineObject-method
                        Set Transformations in Baseline Objects
show_guide              Show guide for objects with guides
sim_borrowing_list      Input borrowing details for a simulation study
sim_covariate_list      Input covariate adjustment details for a
                        simulation study
sim_covariates          Specify covariates for simulation study
sim_covariates_summ     Summarize the number of continuous and binary
                        covariates in a 'SimCovariates' object created
                        by 'sim_covariates()'
sim_data_list           Input generated data for a simulation study
sim_outcome_list        Input outcome details for a simulation study
sim_samplesize          Set simulation study parameters for sample size
sim_treatment_list      Input treatment details for a simulation study
treatment_details       Specify Treatment Details
trim_cols               Trim columns from Data Matrix Based on
                        Borrowing object type
trim_rows               Trim Rows from Data Matrix Based on Borrowing
                        object type
uniform_prior           Prior uniform distribution
variable_dictionary     Create Variable Dictionary
weib_ph_surv_dist       Legacy function for the Weibull proportional
                        Hazards survival distribution
