Function reference • heemod

Strategies Define the strategies.
`define_state()` `define_state_()` `modify(<state>)`	Define a Markov Model State
`define_transition()` `define_transition_()` `modify(<uneval_matrix>)` `plot(<uneval_matrix>)`	Define Transition Matrix for Markov Model
`define_part_surv()` `define_part_surv_()`	Define Partitioned Survival
`define_strategy()` `define_strategy_()`	Define a Markov Model
`define_starting_values()` `define_starting_values_()`	Define Starting State Values
Parameters
`define_parameters()` `define_parameters_()` `modify(<uneval_parameters>)`	Define Markov Model Parameters
Run the model
`run_model()` `run_model_()`	Run Markov Model
`define_init()` `define_init_()`	Define Initial Counts
`define_inflow()` `define_inflow_()`	Define Inflow for a BIA
`summary(<run_model>)`	Summarise Markov Model Results
`plot(<run_model>)`	Plot Results of a Markov Model
Sensitivity analyses Run DSA or PSA
`define_dsa()` `define_dsa_()`	Define a Sensitivity Analysis
`run_dsa()`	Run Sensitivity Analysis
`define_psa()` `define_psa_()`	Define Parameters Distribution for Probabilistic Analysis
`normal()` `lognormal()` `gamma()` `binomial()` `multinomial()` `logitnormal()` `beta()` `triangle()` `poisson()` `define_distribution()` `beta()` `triangle()` `use_distribution()`	Probability Density Functions for Probabilistic Uncertainty Analysis
`define_correlation()` `define_correlation_()`	Define a Correlation Structure for Probabilistic Uncertainty Analysis
`run_psa()`	Run Probabilistic Uncertainty Analysis
`export_savi()`	Export PSA Results for SAVI
`run_bcea()`	Use the BCEA package
`plot(<dsa>)`	Plot Sensitivity Analysis
`plot(<psa>)`	Plot Results of Probabilistic Analysis
Heterogeneity Assess population heterogeneity
`update(<run_model>)` `plot(<updated_model>)`	Run Model on New Data
Survival data
`define_survival()`	Define a Survival Distribution
`define_spline_survival()`	Define a Restricted Cubic Spline Survival Distribution
`compute_surv()`	Evaluate Survival Distributions
`apply_af()`	Apply an Acceleration Factor
`apply_hr()`	Apply a Hazard Ratio
`apply_or()`	Apply an Odds Ratio
`apply_shift()`	Apply a time shift to a survival distribution
`add_hazards()` `add_hazards_()`	Add Hazards
`mix()` `mix_()` `pool()` `pool_()`	Mix Two or More Survival Distributions
`join()` `project()` `project_()` `join_()`	Project Beyond a Survival Distribution with Another
`set_covariates()` `set_covariates_()`	Set Covariates of a Survival Distribution
`plot(<surv_obj>)`	Plot general survival models
`summary(<surv_shift>)`	Summarize surv_shift objects
Calibration
`calibrate_model()`	Calibrate Model Parameters
`define_calibration_fn()`	Define Calibration Function
Convenience functions
`combine_probs()`	Combine Probabilities
`dispatch_strategy()`	Dispatch Values According to Strategy
`get_counts()`	Get State Membership Counts
`get_values()`	Get Strategy Values
`look_up()`	Look Up Values in a Data Frame
`modify()`	Modify Object
`rescale_prob()` `prob_to_prob()` `rate_to_prob()` `or_to_prob()` `rr_to_prob()`	Convenience Functions to Compute Probabilities
`rescale_discount_rate()`	Rescale Discount Rate
`get_who_mr_memo()` `get_who_mr()`	Use WHO Mortality Rate
`reindent_transition()`	Reindent Transition Matrix
Tabluar data
`construct_part_surv_tib()`	construct a survival object from tabular specification
`define_surv_table()`	Define a survival distribution based on explicit survival probabilities
`load_surv_models()`	Load a set of survival fits
`part_survs_from_surv_inputs()`	Convert saved fits to partitioned survival objects
Other features
`use_cluster()` `status_cluster()` `close_cluster()`	Run `heemod` on a Cluster
`heemod`	Markov Models for Health Economic Evaluations
`run_model_tabular()`	Run Analyses From Files

Reference

Strategies

Parameters

Run the model

Sensitivity analyses

Heterogeneity

Survival data

Calibration

Convenience functions

Tabluar data

Other features