Function reference • psborrow2

All functions

Analysis-class .analysis_obj: Analysis Class

BernoulliPrior-class .bernoulli_prior: BernoulliPrior Class

BetaPrior-class .beta_prior: BetaPrior Class

BinaryOutcome-class: BinaryOutcome class

Borrowing-class .borrowing_class: Borrowing Class

CauchyPrior-class .cauchy_prior: CauchyPrior Class

Covariates-class .covariate_class: Covariate Class

ExponentialPrior-class .exponential_prior: ExponentialPrior Class

ExponentialSurvDist-class .exp_surv_dist: ExponentialSurvDist Class

GammaPrior-class .gamma_prior: GammaPrior Class

LogisticBinaryOutcome-class .logistic_bin_outcome: LogisticBinaryOutcome class

NormalPrior-class .normal_prior: NormalPrior Class

Outcome-class: Outcome class

PoissonPrior-class .poisson_prior: PoissonPrior Class

Prior-class: Prior Class

TimeToEvent-class: TimeToEvent class

Treatment-class .treatment_class: Treatment Class

UniformPrior-class .uniform_prior: UniformPrior Class

WeibullPHSurvDist-class .weib_ph_surv_dist: WeibullPHSurvDist Class

add_covariates(): Add Covariates for Model Adjustment

bernoulli_prior(): Prior bernoulli distribution

beta_prior(): Prior beta distribution

borrowing_details(): Specify Borrowing Model

cauchy_prior(): Prior cauchy distribution

check_cmdstanr(): Check Stan

check_data_matrix_has_columns(): Check Data Matrix for Required Columns

create_analysis_obj(): Compile MCMC sampler using STAN and create analysis object

create_data_matrix(): Create Data Matrix

example_matrix: Example data matrix

exp_surv_dist(): Exponential survival distribution

exponential_prior(): Prior exponential distribution

gamma_prior(): Prior gamma distribution

get_vars get_vars,Covariates-method get_vars,Treatment-method get_vars,Borrowing-method get_vars,TimeToEvent-method get_vars,BinaryOutcome-method get_vars,Analysis-method get_vars,NULL-method: Get Variables

logistic_bin_outcome(): Bernoulli distribution with logit parametrization

make_model_string_data(): Make model string of Stan's data block

make_model_string_functions(): Make model string of Stan's functions model bloc

make_model_string_model(): Make model string of Stan's model block

make_model_string_parameters(): Make model string of Stan's parameters model block

make_model_string_transf_param(): Make model string of Stan's transformed parameters model block

mcmc_sample(): Sample from Stan model

normal_prior(): Prior normal distribution

plot(<Prior>,<missing>) plot(<NormalPrior>,<missing>) plot(<BernoulliPrior>,<missing>) plot(<BetaPrior>,<missing>) plot(<CauchyPrior>,<missing>) plot(<ExponentialPrior>,<missing>) plot(<GammaPrior>,<missing>) plot(<PoissonPrior>,<missing>) plot(<UniformPrior>,<missing>): Plot Prior Objects

plot_pdf(): Plot Probability Density Function Values

plot_pmf(): Plot Probability Mass Function Values

poisson_prior(): Prior poisson distribution

prepare_stan_data_inputs(): Prepare Stan data inputs

rename_draws_covariates(): Rename Covariates in draws Object

treatment_details(): Specify Treatment Details

trim_data_matrix(): Trim model matrix to just include relevant columns

uniform_prior(): Prior uniform distribution

variable_dictionary(): Create Variable Dictionary

weib_ph_surv_dist(): Weibull survival distribution (proportional hazards formulation)