Package: pharmr 1.4.0
pharmr: Interface to the 'Pharmpy' 'Pharmacometrics' Library
Interface to the 'Pharmpy' 'pharmacometrics' library. The 'Reticulate' package is used to interface Python from R.
Authors:
pharmr_1.4.0.tar.gz
pharmr_1.4.0.tar.gz(r-4.5-noble)pharmr_1.4.0.tar.gz(r-4.4-noble)
pharmr_1.4.0.tgz(r-4.4-emscripten)pharmr_1.4.0.tgz(r-4.3-emscripten)
pharmr.pdf |pharmr.html✨
pharmr/json (API)
# Install 'pharmr' in R: |
install.packages('pharmr', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/pharmpy/pharmr/issues
Last updated 22 days agofrom:a049029d92. Checks:OK: 2. Indexed: no.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Dec 04 2024 |
R-4.5-linux | OK | Dec 04 2024 |
Exports:add_admidadd_allometryadd_bioavailabilityadd_cmtadd_covariate_effectadd_derivativeadd_effect_compartmentadd_estimation_stepadd_iivadd_indirect_effectadd_individual_parameteradd_iovadd_lag_timeadd_metaboliteadd_parameter_uncertainty_stepadd_pd_iivadd_peripheral_compartmentadd_pk_iivadd_population_parameteradd_predictionsadd_residualsadd_time_after_doseappend_estimation_step_optionsbin_observationsbump_model_numbercalculate_aiccalculate_biccalculate_corr_from_covcalculate_corr_from_preccalculate_cov_from_corrsecalculate_cov_from_preccalculate_epsilon_gradient_expressioncalculate_eta_gradient_expressioncalculate_eta_shrinkagecalculate_individual_parameter_statisticscalculate_individual_shrinkagecalculate_parameters_from_ucpcalculate_pk_parameters_statisticscalculate_prec_from_corrsecalculate_prec_from_covcalculate_se_from_covcalculate_se_from_preccalculate_ucp_scalecheck_datasetcheck_high_correlationscheck_parameters_near_boundscleanup_modelconvert_modelcreate_basic_pk_modelcreate_config_templatecreate_contextcreate_joint_distributioncreate_reportcreate_rngcreate_symboldeidentify_datadisplay_odesdrop_columnsdrop_dropped_columnsevaluate_epsilon_gradientevaluate_eta_gradientevaluate_expressionevaluate_individual_predictionevaluate_population_predictionevaluate_weighted_residualsexpand_additional_dosesfilter_datasetfind_clearance_parametersfind_volume_parametersfitfix_or_unfix_parametersfix_parametersfix_parameters_toget_admidget_baselinesget_bioavailabilityget_central_volume_and_clearanceget_cmtget_concentration_parameters_from_dataget_config_pathget_covariate_baselinesget_covariate_effectsget_doseidget_dosesget_dv_symbolget_evidget_idsget_individual_parametersget_individual_prediction_expressionget_initial_conditionsget_lag_timesget_mdvget_model_codeget_model_covariatesget_mu_connected_to_parameterget_number_of_individualsget_number_of_observationsget_number_of_observations_per_individualget_number_of_peripheral_compartmentsget_number_of_transit_compartmentsget_observation_expressionget_observationsget_omegasget_parameter_rvget_pd_parametersget_pk_parametersget_population_prediction_expressionget_rv_parametersget_sigmasget_thetasget_unit_ofget_zero_order_inputsgreekify_modelhas_additive_error_modelhas_combined_error_modelhas_covariate_effecthas_first_order_absorptionhas_first_order_eliminationhas_instantaneous_absorptionhas_linear_odeshas_linear_odes_with_real_eigenvalueshas_michaelis_menten_eliminationhas_mixed_mm_fo_eliminationhas_mu_referencehas_odeshas_presystemic_metabolitehas_proportional_error_modelhas_random_effecthas_seq_zo_fo_absorptionhas_weighted_error_modelhas_zero_order_absorptionhas_zero_order_eliminationinstall_pharmpyis_linearizedis_realis_strictness_fulfilledlist_time_varying_covariatesload_datasetload_example_modelload_example_modelfit_resultsmake_declarativemu_reference_modelomit_dataplot_abs_cwres_vs_ipredplot_cwres_vs_idvplot_dv_vs_ipredplot_dv_vs_predplot_eta_distributionsplot_individual_predictionsplot_iofv_vs_iofvplot_transformed_eta_distributionsplot_vpcpredict_influential_individualspredict_influential_outlierspredict_outliersprint_fit_summaryprint_logprint_model_codeprint_model_symbolsprint_pharmpy_versionread_dataset_from_datainforead_modelread_model_from_stringread_modelfit_resultsread_resultsremove_bioavailabilityremove_covariate_effectremove_derivativeremove_error_modelremove_estimation_stepremove_iivremove_iovremove_lag_timeremove_loq_dataremove_parameter_uncertainty_stepremove_peripheral_compartmentremove_predictionsremove_residualsremove_unused_parameters_and_rvsrename_symbolsreplace_fixed_thetasreplace_non_random_rvsresample_datareset_indexretrieve_modelretrieve_modelfit_resultsretrieve_modelsrun_allometryrun_amdrun_bootstraprun_covsearchrun_estmethodrun_iivsearchrun_iovsearchrun_linearizerun_modelfitrun_modelsearchrun_retriesrun_ruvsearchrun_simulationrun_structsearchrun_toolsample_individual_estimatessample_parameters_from_covariance_matrixsample_parameters_uniformlyset_additive_error_modelset_baseline_effectset_combined_error_modelset_covariatesset_datasetset_descriptionset_direct_effectset_dtbs_error_modelset_dvidset_estimation_stepset_evaluation_stepset_first_order_absorptionset_first_order_eliminationset_iiv_on_ruvset_initial_conditionset_initial_estimatesset_instantaneous_absorptionset_lloq_dataset_lower_boundsset_michaelis_menten_eliminationset_mixed_mm_fo_eliminationset_nameset_ode_solverset_peripheral_compartmentsset_power_on_ruvset_proportional_error_modelset_reference_valuesset_seq_zo_fo_absorptionset_simulationset_time_varying_error_modelset_tmddset_transit_compartmentsset_upper_boundsset_weighted_error_modelset_zero_order_absorptionset_zero_order_eliminationset_zero_order_inputsimplify_expressionsolve_ode_systemsplit_joint_distributionsummarize_modelfit_resultstransform_blqtransform_etas_boxcoxtransform_etas_john_drapertransform_etas_tdisttranslate_nmtran_timeunconstrain_parametersundrop_columnsunfix_parametersunfix_parameters_tounload_datasetupdate_initial_individual_estimatesuse_thetas_for_error_stdevwrite_csvwrite_modelwrite_results
Dependencies:altairassertthatbase64encbslibcachemclidigestevaluatefansifastmapfontawesomefsglueherehighrhtmltoolshtmlwidgetsjquerylibjsonliteknitrlatticelifecyclemagrittrMatrixmemoisemimepillarpngR6rappdirsRcppRcppTOMLreprreticulaterlangrmarkdownrprojrootsasstinytexutf8vctrsvegawidgetwithrxfunyaml