* installing to library ‘/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages’
* installing *source* package ‘gaussianprocesses’ ...
** this is package ‘gaussianprocesses’ version ‘1.0.0’
** package ‘gaussianprocesses’ successfully unpacked and MD5 sums checked
** using staged installation
** R
** inst
** byte-compile and prepare package for lazy loading
** help
*** installing help indices
  converting help for package ‘gaussianprocesses’
    finding HTML links ... done
    benchmark_exact_gp_scaling              html  
    benchmark_sparse_gp                     html  
    changepoint_kernel                      html  
    compare_gp_predictions                  html  
    evaluate_kernel                         html  
    evaluate_likelihood                     html  
    evaluate_mean                           html  
    fit_gp                                  html  
    fit_heteroscedastic_gp                  html  
    fit_latent_gp                           html  
    fit_sparse_gp                           html  
    fit_time_series_gp                      html  
    forecast_gp                             html  
    forecast_metrics                        html  
    gaussianprocesses-package               html  
    gaussianprocesses_model                 html  
    gp_calibration_diagnostics              html  
    gp_classification_scores                html  
    gp_coefficients                         html  
    gp_count_scores                         html  
    gp_diagnostics                          html  
    gp_hyperparameter_uncertainty           html  
    gp_likelihoods                          html  
    gp_mean_functions                       html  
    gp_model_methods                        html  
    gp_numerical_diagnostics                html  
    gp_profile_likelihood                   html  
    gp_scores                               html  
    gp_simulation_scenario                  html  
    gp_time_index                           html  
    initialize_spectral_mixture             html  
    kernel_diagonal                         html  
    kernel_gradient                         html  
    kernel_input_gradient                   html  
    kernel_linear                           html  
    kernel_matern                           html  
    kernel_parameters                       html  
    kernel_periodic                         html  
    kernel_rational_quadratic               html  
    kernel_rbf                              html  
    kernel_white_noise                      html  
    likelihood_predictive                   html  
    linear_kernel                           html  
    log_marginal_likelihood                 html  
    log_marginal_likelihood_gradient        html  
    loo_gp                                  html  
    matern_kernel_specs                     html  
    mean_coefficients                       html  
    optimize_gp                             html  
    optimize_latent_gp                      html  
    optimize_sparse_gp                      html  
    optimize_time_series_gp                 html  
    parametric_means                        html  
    periodic_kernel                         html  
    predict_gp                              html  
    predict_gradient_gp                     html  
    predict_heteroscedastic_gp              html  
    predict_latent_gp                       html  
    predict_sparse_gp                       html  
    product_kernel                          html  
    rational_quadratic_kernel               html  
    rbf_kernel                              html  
    rolling_origin_gp                       html  
    run_gp_benchmark_suite                  html  
    sample_gp_posterior                     html  
    sample_gp_prior                         html  
    scale_kernel                            html  
    select_dimensions                       html  
    select_inducing_points                  html  
    simulate_gp_data                        html  
    spectral_mixture_kernel                 html  
    sum_kernel                              html  
    time_series_kernel                      html  
    update_kernel_parameters                html  
    white_noise_kernel                      html  
** building package indices
** installing vignettes
** testing if installed package can be loaded from temporary location
** testing if installed package can be loaded from final location
** testing if installed package keeps a record of temporary installation path
* DONE (gaussianprocesses)