| compare_runs | Compare NONMEM runs estimation results |
| detect_outliers | Outliers detection |
| EXAMPLERUN | NONMEM example run |
| filter.nonmem_run | Filter a NONMEM run object data |
| get_estimation | Get an estimation step of a run |
| group_by.nonmem_run | Group a NONMEM run object data |
| load_nm_run | Load a NONMEM run data |
| load_nm_run_directory | Load a NONMEM run data from a directory |
| nm_check | Performs a NM-TRAN check of the control file |
| nm_exec | Starts a NONMEM run |
| nm_exec2 | Starts a NONMEM run and do not wait for the results |
| nm_prior | Generate a NONMEM control stream with $PRIOR |
| nm_reserved_names | NONMEM reserved names |
| nm_simulation | Generate a NONMEM control stream for simulations from a run |
| nonmem_txtmsgs | NONMEM text messages |
| parse_nm_control_stream | Parse a NONMEM control stream |
| parse_nm_ext | Parse a NONMEM iteration file (*.ext) |
| parse_nm_phi | Parse a NONMEM phi file (*.phi) |
| plot_categorical_covariates_distributions | Categorical covariates distributions bar charts |
| plot_continuous_covariates_distributions | Continuous covariates distributions |
| plot_convergence | Convergence plot |
| plot_covariates_correlations | Continuous covariates correlations |
| plot_dv_vs_predictions | Dependent variables vs Predictions plot |
| plot_individual_ofv | Individual contribution to objective function plot |
| plot_individual_profiles | Individual profiles (observations, predictions) versus... |
| plot_observed_profiles | Spaghetti plot |
| plot_ofv | Objective function plot |
| plot_parameters_correlations | Plot parameters correlations |
| plot_parameters_distributions | Individual parameters distributions |
| plot_parameters_vs_categorical_covariates | Plot parameters vs categorical covariates correlations |
| plot_parameters_vs_continuous_covariates | Parameters vs continuous covariates correlations |
| plot_residuals | Residuals plot |
| print.nonmem_control_stream | Print a NONMEM control_stream object |
| print.nonmem_run | Print a NONMEM run object |
| quality_criteria | Quality criteria (QC) computations |
| recode_categorical_covariates | Recode categorical covariates levels |
| reexports | Objects exported from other packages |
| rename_compartments | Rename model compartments |
| rename_covariates | Rename model covariates |
| set_compartments_units | Set compartment units |
| slice.nonmem_run | Slice a NONMEM run object data |
| summarize_categorical_covariates | Categorical covariates summary |
| summarize_continuous_covariates | Continuous covariates distributions summary |
| summarize_covariates_correlations | Continuous covariates correlations summary |
| summarize_etabars | Summarize ETA bars |
| summarize_omega | Summarize OMEGA matrix |
| summarize_parameters_correlations | Parameters correlations |
| summarize_parameters_distributions | Individual parameters distributions summary |
| summarize_parameters_vs_continuous_covariates | Parameters vs continuous covariates correlations |
| summarize_shrinkage | Summarize shrinkage |
| summarize_sigma | Summarize SIGMA matrix |
| summarize_thetas | Summarize THETA parameters |
| summary.nonmem_control_stream | Print the summary of a NONMEM control stream object |
| switch_covariates_type | Switch covariate type (categorical <-> continuous) |
| theme_pmx | 'pmxploit' ggplot2 theme |
| ungroup.nonmem_run | Ungroup a NONMEM run object data |
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.