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packDAMipd  

Decision Analysis Modelling Package with Parameters Estimation Ability from Individual Patient Level Data
View on CRAN: Click here


Download and install packDAMipd package within the R console
Install from CRAN:
install.packages("packDAMipd")

Install from Github:
library("remotes")
install_github("cran/packDAMipd")

Install by package version:
library("remotes")
install_version("packDAMipd", "1.1.0")



Attach the package and use:
library("packDAMipd")
Maintained by
Sheeja Manchira Krishnan
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2020-11-09
Latest Update:
Description:
A collection of functions to construct Markov model for model-based cost-effectiveness analysis. This includes creating Markov model (both time homogenous and time dependent models), decision analysis, sensitivity analysis (deterministic and probabilistic). The package allows estimation of parameters for the Markov model from a given individual patient level data, provided the data file follows some standard data entry rules.
How to cite:
Sheeja Manchira Krishnan (2020). packDAMipd: Decision Analysis Modelling Package with Parameters Estimation Ability from Individual Patient Level Data. R package version 1.1.0, https://cran.r-project.org/web/packages/packDAMipd. Accessed 07 Mar. 2026.
Previous versions and publish date:
0.1.0 (2020-11-09 20:50), 0.1.2 (2020-11-20 16:00), 0.2.0 (2021-02-19 13:00), 0.2.1 (2021-02-26 19:20), 0.2.2 (2021-03-03 10:20), 1.1.0 (2024-03-24 22:10)
Other packages that cited packDAMipd R package
View packDAMipd citation profile
Other R packages that packDAMipd depends, imports, suggests or enhances
Functions, R codes and Examples using the packDAMipd R package
Some associated functions: adl_scoring . assign_parameters . blank . calculate_icer_nmb . check_estimate_required_params . check_estimate_substitute_proper_params . check_link_glm . check_list_markov_models . check_null_na . check_trans_prob . check_treatment_arm . check_values_states . checks_markov_pick_method . checks_plot_dsa . combine_markov . combine_state . convert_freq_diff_basis . convert_to_given_timeperiod . convert_volume_basis . convert_weight_diff_basis . convert_wtpertimediff_basis . cost_data . costing_AandE_admission . costing_inpatient_daycase_admission . costing_resource_use . create_new_dataset . define_parameters . define_parameters_psa . define_parameters_sens_anal . define_transition_table . do_diagnostic_glm . do_diagnostic_linear_regression . do_psa . do_sensitivity_analysis . encode_codes_data . eval_assign_trans_prob . eval_assign_values_states . find_glm_distribution . find_keyword_rand_generation . find_keyword_regression_method . find_parameters_btn_operators . find_required_parameter_combs . find_survreg_distribution . form_expression_glm . form_expression_lm . form_expression_mixed_model_lme4 . generate_wt_time_units . generate_wt_vol_units . get_age_details . get_col_multiple_pattern . get_colnames_codedvalues . get_cost_AandE_code . get_cost_AandE_description . get_cost_ip_dc_description . get_cost_ip_dc_hrg . get_eq5d_details . get_extension_file . get_gender_details . get_mean_sd_age . get_mortality_from_file . get_name_value_probdistrb_def . get_outcome_details . get_parameter_def_distribution . get_parameter_direct . get_parameter_estimated_regression . get_parameter_read . get_slope_intercept . get_slope_intercept_cross . get_slope_intercept_nested . get_timepoint_details . get_trial_arm_details . get_var_state . health_state . init_trace . keep_results_plot_dsa . list_paramwise_psa_result . load_trial_data . make_string_covariates . map_eq5d5Lto3L_VanHout . markov_model . microcosting_liquids_long . microcosting_liquids_wide . microcosting_patches_long . microcosting_patches_wide . microcosting_tablets_long . microcosting_tablets_wide . plot_ceac . plot_dsa . plot_dsa_difference . plot_dsa_icer_range . plot_dsa_nmb_range . plot_dsa_others_range . plot_efficiency_frontier . plot_model . plot_prediction_parametric_survival . plot_return_residual_cox . plot_return_residual_survival . plot_return_survival_curve . plot_survival_cox_covariates . populate_transition_matrix . predict_coxph . prediction_regression . report_sensitivity_analysis . return0_if_not_null_na . return_equal_liststring_col . return_equal_liststring_listcol . return_equal_str_col . set_var_state . strategy . summary_plot_psa . table_param . trace_data . transition_cost_util . trial_data . use_coxph_survival . use_fh2_survival . use_fh_survival . use_generalised_linear_mixed_model . use_generalised_linear_model . use_km_survival . use_linear_mixed_model . use_linear_regression . use_parametric_survival . use_seemingly_unrelated_regression . use_survival_analysis . utility_data . value_ADL_scores_IPD . value_Shows_IPD . value_eq5d3L_IPD . value_eq5d5L_IPD . word2num . 
Some associated R codes: 1_model_functions.R . 2a_parameter_estimation_functions.R . 2b_parameter_estimation_survival_functions.R . 3a_trialdata_analysis_input_functions.R . 3b_outcome_analysis_functions.R . 3c_costing_medication_functions.R . 3c_costing_resource_use_functions.R . 3d_decision_analysis_functions.R . 4a_deterministic_sensitivity_analysis_functions.R . 4b_probabilistic_sensitivity_analysis_functions.R . data.R . globals.R . help_cost_analysis_functions.R . help_model_functions.R . help_parameter_estimation_functions.R . help_parameter_estimation_survival.R . toy_model.R .  Full packDAMipd package functions and examples
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