Man pages for TesiproV
Reliability Analysis Methods for Structural Engineering
| as_record_df | Convert recorder lists into tidy data frame after completion |
| build_gsys | Build a smooth system limit-state function (g_sys) |
| compute_weight_update | Internal weight accumulation for Monte Carlo Importance... |
| create_rng_manager | Deterministic RNG Block Manager (L'Ecuyer-CMRG) |
| debug.print | internal Helper function to debug more easy |
| dot-is_unset | Check whether a value is NULL or an uninitialized RefClass... |
| dot-oc_fit_posterior_hyper | Fit parametric posterior hyperparameters to the outgoing... |
| dot-onLoad | Package startup - register default parallelisation... |
| ensure_pkg | Ensure that a required package is available |
| FORM | First-Order Reliability Method (FORM) |
| init_rng_master | Initialize master RNG stream |
| Internal-helper-functions-for-MC_IS-open-paren-close-paren | Internal helper functions for Monte Carlo Importance Sampling... |
| is_empty | Test whether an object is *empty* |
| is_missing | Helper: is a value missing (NULL, NA, zero-length, or empty... |
| LogStudentT | Log-Student t Distribution |
| make_parallel_cluster | Create a parallel cluster (fork on *nix, PSOCK on Windows) |
| make_ready_cluster | Prepare parallel cluster environment for MC Importance... |
| make_recorders | Create empty recorder vectors for MC iterations |
| MC_CRUDE | Crude Monte Carlo Simulation |
| MC_IS | Monte Carlo Simulation with Importance Sampling |
| MC_IS_gsys | Monte Carlo Importance Sampling using smooth system... |
| MC_IS_single | Internal Monte Carlo Importance Sampling Routine (Single... |
| MC_IS_system | Monte-Carlo Importance Sampling for a system of limit-state... |
| MC_SubSam | Monte Carlo Simulation with Subset-Sampling |
| MVFOSM | Mean-Value First-Order Second-Moment (MVFOSM) |
| parallel_dispatch | Internal Parallel Dispatcher for Importance Sampling |
| PARAM_BASEVAR-class | Parametric Random Variable (PARAM_BASEVAR) |
| PARAM_DETVAR-class | Parametric Deterministic Variable (PARAM_DETVAR) |
| PARAM_LSF-class | Parametric Limit-State Function (PARAM_LSF) |
| PROB_BASEVAR-class | Object to store the distribution model for basic variables... |
| PROB_DETVAR-class | Object to store a deterministic parameters (PROB_DETVAR) |
| PROB_MACHINE-class | Reliability Algorithm (PROB_MACHINE) |
| PROB_QUALCON-class | Sampling plan and OC curve (PROB_QUALCON) |
| record_step | Update one recorder entry during main loop iteration |
| resolve_future_seed | Resolve and validate RNG seed for Future backend |
| run_parallel | Run a parallel computation using either "parallel" or... |
| set_cluster_rng | Set cluster RNG streams |
| shifted_lnorm | Shifted lognormal distribution |
| SORM | Second-Order Reliability Method (SORM) |
| StudentT | Student t Distribution |
| SYS_LSF-class | System Limit-State Function (SYS_LSF) |
| SYS_PARAM-class | Object for parametric Studies (SYS_PARAM) |
| SYS_PROB-class | System Probability Solution Object (SYS_PROB) |
| TesiproV-package | TesiproV: A package for the calculation of reliability and... |
