| absorbing | Absorbing states |
| apply_rr | Apply relative risks to transition probability matrices |
| as_array3 | Convert between 2D tabular objects and 3D arrays |
| as.data.table.tparams_transprobs | Coerce to 'data.table' |
| as_pfs_os | Convert multi-state data to PFS and OS data |
| autoplot.stateprobs | Plot state probabilities |
| autoplot.survival | Plot survival curves |
| bootstrap | Bootstrap a statistical model |
| ce | A cost-effectiveness object |
| cea | Cost-effectiveness analysis |
| check | Input validation for class objects |
| check_input_data | Check input data argument for 'create_input_mats' |
| CohortDtstm | Cohort discrete time state transition model |
| CohortDtstmTrans | Transitions for a cohort discrete time state transition model |
| costs | Costs object |
| create_CohortDtstm | Create 'CohortDtstm' object |
| create_CohortDtstmTrans | Create 'CohortDtstmTrans' object |
| create_IndivCtstmTrans | Create 'IndivCtstmTrans' object |
| create_input_mats | Create input matrices |
| create_input_mats.formula_list | Create input matrices from formula |
| create_lines_dt | Create a data table of treatment lines |
| create_object_list | Form a list from '...' |
| create_params | Create a parameter object from a fitted model |
| create_PsmCurves | Create 'PsmCurves' object |
| create_StateVals | Create a 'StateVals' object |
| create_trans_dt | Create a data table of health state transitions |
| CtstmTrans | An 'R6' base class for continuous time state transition... |
| define_model | Define and evaluate model expression |
| define_rng | Define and evaluate random number generation expressions |
| define_tparams | Define and evaluate transformed parameter expressions |
| disprog | Disease progression object |
| expand | Expand object |
| expand.hesim_data | Expand hesim_data |
| expmat | Matrix exponential |
| fast_rgengamma | Random generation for generalized gamma distribution |
| flexsurvreg_list | List of 'flexsurvreg' objects |
| formula_list | List of 'formula' objects |
| get_labels | Get value labels |
| hesim | hesim: Health Economic Simulation Modeling and Decision... |
| hesim_data | Data for health economic simulation modeling |
| hesim_survdists | List of survival distributions |
| icea | Individualized cost-effectiveness analysis |
| icer | Incremental cost-effectiveness ratio |
| icer_tbl | ICER table |
| id_attributes | Attributes for ID variables |
| incr_effect | Incremental treatment effect |
| IndivCtstm | Individual-level continuous time state transition model |
| IndivCtstmTrans | Transitions for an individual-level continuous time state... |
| input_mats | Input matrices for a statistical model |
| lm_list | List of 'lm' objects |
| mom_beta | Method of moments for beta distribution |
| mom_gamma | Method of moments for gamma distribution |
| mstate3_exdata | Example data for a reversible 3-state multi-state model |
| multinom3_exdata | Example data for a 3-state multinomial model |
| multinom_list | List of 'multinom' objects |
| normboot | Draw parameters of statistical model from multivariate normal... |
| onc3 | Multi-state oncology data for 3-state model |
| onc3p | Multi-state panel oncology data for 3-state model |
| params | Parameter object |
| params_lm | Parameters of a linear model |
| params_mlogit | Parameters of a multinomial logit model |
| params_mlogit_list | Parameters of a list of multinomial logit models |
| params_surv | Parameters of a survival model |
| params_surv_list | Parameters of a list of survival models |
| partsurvfit | Partitioned survival regression object |
| plot_ceac | Plot cost-effectiveness acceptability curve |
| plot_ceaf | Plot cost-effectiveness acceptability frontier |
| plot_ceplane | Plot cost-effectiveness plane |
| plot_evpi | Plot expected value of perfect information |
| plugin | Code to use the hesim package inline. Not directly called by... |
| Psm | N-state partitioned survival model |
| psm4_exdata | Example data for a 4-state partitioned survival model |
| PsmCurves | Partitioned survival curves |
| qalys | Quality-adjusted life-years object |
| qmatrix | Transition intensity matrix |
| qmatrix.matrix | Transition intensity matrix from tabular object |
| qmatrix.msm | Transition intensity matrix from 'msm' object |
| rcat | Random generation for categorical distribution |
| rdirichlet_mat | Random generation for multiple Dirichlet distributions |
| reexports | Objects exported from other packages |
| rng_distributions | Random number generation distributions |
| rpwexp | Random generation for piecewise exponential distribution |
| set_labels | Set value labels |
| sim_ev | Expected values from state probabilities |
| sim_stateprobs | Simulated state probabilities |
| sim_stateprobs.survival | Simulate state probabilities from survival curves |
| stateprobs | State probability object |
| StateVals | Model for state values |
| stateval_tbl | Table to store state value parameters |
| summarize_ce | Summarize costs and effectiveness |
| summary.ce | Summary method for cost-effectiveness object |
| summary.eval_rng | Summarize 'eval_rng' object |
| summary.params | Summarize parameter objects |
| summary.tparams_mean | Summarize 'tparams_mean' object |
| summary.tparams_transprobs | Summarize 'tparams_transprobs' object |
| summary.tpmatrix | Summarize transition probability matrix |
| survival | Survival object |
| surv_quantile | Survival quantiles |
| time_intervals | Time intervals |
| tparams | Transformed parameter object |
| tparams_mean | Predicted means |
| tparams_transprobs | Transition probabilities |
| tpmatrix | Transition probability matrix |
| tpmatrix_id | Transition probability matrix IDs |
| tpmatrix_names | Names for elements of a transition probability matrix |
| uv_rng | Generate variates for univariate distributions |
| weibullNMA | Parameterization of the Weibull distribution for network... |
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.