Internal Helper Functions for Validation of GeneralModel and ModelPseudo Objects

These functions are only used internally to validate the format of an input GeneralModel and ModelPseudo or inherited classes and therefore are not exported.

Usage

v_general_model(object)

v_model_logistic_kadane(object)

v_model_logistic_kadane_beta_gamma(object)

v_model_logistic_normal_mix(object)

v_model_logistic_normal_fixed_mix(object)

v_model_logistic_log_normal_mix(object)

v_model_dual_endpoint(object)

v_model_dual_endpoint_rw(object)

v_model_dual_endpoint_beta(object)

v_model_dual_endpoint_emax(object)

v_model_logistic_indep_beta(object)

v_model_eff_log_log(object)

v_model_eff_flexi(object)

v_model_da_logistic_log_normal(object)

v_model_tite_logistic_log_normal(object)

v_model_one_par_exp_normal_prior(object)

v_model_one_par_exp_prior(object)

v_logisticlognormalordinal(object)

Arguments

object

(GeneralModel) or (ModelPseudo)
object to validate.

Value

A character vector with the validation failure messages, or TRUE in case validation passes.

Functions

• v_general_model(): validates that the names of the arguments in init function are included in datanames or datanames_prior slots.

• v_model_logistic_kadane(): validates that the logistic Kadane model parameters are valid.

• v_model_logistic_kadane_beta_gamma(): validates that the logistic Kadane model parameters with a beta and gamma prior are valid.

• v_model_logistic_normal_mix(): validates that weightpar is valid.

• v_model_logistic_normal_fixed_mix(): validates that component is a list with valid ModelParamsNormal objects as well as weights are correct.

• v_model_logistic_log_normal_mix(): validates that share_weight represents probability.

• v_model_dual_endpoint(): validates that DualEndpoint class slots are valid.

• v_model_dual_endpoint_rw(): validates that DualEndpointRW class slots are valid.

• v_model_dual_endpoint_beta(): validates that DualEndpointBeta class slots are valid.

• v_model_dual_endpoint_emax(): validates that DualEndpointEmax class slots are valid.

• v_model_logistic_indep_beta(): validates that LogisticIndepBeta class slots are valid.

• v_model_eff_log_log(): validates that Effloglog class slots are valid.

• v_model_eff_flexi(): validates that EffFlexi class slots are valid.

• v_model_da_logistic_log_normal(): validates that DALogisticLogNormal class slots are valid.

• v_model_tite_logistic_log_normal(): validates that TITELogisticLogNormal class slots are valid.

• v_model_one_par_exp_normal_prior(): validates that OneParLogNormalPrior class slots are valid.

• v_model_one_par_exp_prior(): validates that OneParExpPrior class slots are valid.

• v_logisticlognormalordinal(): confirms that cov is diagonal