* installing to library ‘/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages’
* installing *source* package ‘EQRN’ ...
** this is package ‘EQRN’ version ‘0.1.1’
** package ‘EQRN’ successfully unpacked and MD5 sums checked
** using staged installation
** R
** byte-compile and prepare package for lazy loading
** help
*** installing help indices
  converting help for package ‘EQRN’
    finding HTML links ... done
    EQRN-package                            html  
    EQRN_excess_probability                 html  
    EQRN_excess_probability_seq             html  
    EQRN_fit                                html  
    EQRN_fit_restart                        html  
    EQRN_fit_seq                            html  
    EQRN_load                               html  
    EQRN_predict                            html  
    EQRN_predict_internal                   html  
    EQRN_predict_internal_seq               html  
    EQRN_predict_params                     html  
    EQRN_predict_params_seq                 html  
    EQRN_predict_seq                        html  
    EQRN_save                               html  
    FC_GPD_SNN                              html  
    FC_GPD_net                              html  
    GPD_excess_probability                  html  
    GPD_quantiles                           html  
    QRNN_RNN_net                            html  
    QRN_fit_multiple                        html  
    QRN_seq_fit                             html  
    QRN_seq_predict                         html  
    QRN_seq_predict_foldwise                html  
    QRN_seq_predict_foldwise_sep            html  
    R_squared                               html  
    Recurrent_GPD_net                       html  
    Separated_GPD_SNN                       html  
    batch_size_default                      html  
    check_directory                         html  
    compute_EQRN_GPDLoss                    html  
    compute_EQRN_seq_GPDLoss                html  
    decay_learning_rate                     html  
    default_device                          html  
    end_doFuture_strategy                   html  
    excess_probability.EQRN_iid             html  
    excess_probability.EQRN_seq             html  
    excess_probability                      html  
    fit_GPD_unconditional                   html  
    fix_dimsimplif                          html  
    get_doFuture_operator                   html  
    get_excesses                            html  
    install_backend                         html  
    instantiate_EQRN_network                html  
    lagged_features                         html  
    last_elem                               html  
    legacy_names                            html  
    list2matrix                             html  
    loss_GPD                                html  
    loss_GPD_tensor                         html  
    make_folds                              html  
    mean_absolute_error                     html  
    mean_squared_error                      html  
    mts_dataset                             html  
    multilevel_MAE                          html  
    multilevel_MSE                          html  
    multilevel_R_squared                    html  
    multilevel_exceedance_proba_error       html  
    multilevel_pred_bias                    html  
    multilevel_prop_below                   html  
    multilevel_q_loss                       html  
    multilevel_q_pred_error                 html  
    multilevel_resid_var                    html  
    nn_alpha_dropout                        html  
    nn_dropout_nd                           html  
    onload_backend_installer                html  
    perform_scaling                         html  
    predict.EQRN_iid                        html  
    predict.EQRN_seq                        html  
    predict.QRN_seq                         html  
    predict_GPD_semiconditional             html  
    predict_unconditional_quantiles         html  
    prediction_bias                         html  
    prediction_residual_variance            html  
    process_features                        html  
    proportion_below                        html  
    quantile_exceedance_proba_error         html  
    quantile_loss                           html  
    quantile_loss_tensor                    html  
    quantile_prediction_error               html  
    roundm                                  html  
    safe_save_rds                           html  
    semiconditional_train_valid_GPD_loss    html  
    set_doFuture_strategy                   html  
    setup_optimizer                         html  
    setup_optimizer_seq                     html  
    square_loss                             html  
    unconditional_train_valid_GPD_loss      html  
    vec2mat                                 html  
    vector_insert                           html  
** building package indices
** testing if installed package can be loaded from temporary location
trying URL 'https://download.pytorch.org/libtorch/cpu/libtorch-cxx11-abi-shared-with-deps-2.5.1%2Bcpu.zip'
Content type 'application/zip' length 169497630 bytes (161.6 MB)
==================================================
downloaded 161.6 MB

trying URL 'https://torch-cdn.mlverse.org/binaries/refs/heads/cran/v0.14.2/latest/lantern-0.14.2+cpu+x86_64-Linux.zip'
Content type 'application/zip' length 5835388 bytes (5.6 MB)
==================================================
downloaded 5.6 MB

** testing if installed package can be loaded from final location
** testing if installed package keeps a record of temporary installation path
* DONE (EQRN)