# Health-Economic Simulation Modeling and Decision Analysis

## Documentation for package ‘hesim’ version 0.3.1

- DESCRIPTION file.
- User guides, package vignettes and other documentation.

## Help Pages

B C D E F G H I L M N P Q R S T U W

## -- B --

beta_rng | Random number generation distributions
bootstrap | Bootstrap a statistical model
bootstrap.partsurvfit | Bootstrap a statistical model

## -- C --

ce | A cost-effectiveness object
check_edata | Check 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_CohortDtstm.model_def | Create 'CohortDtstm' object
create_CohortDtstmTrans | Create 'CohortDtstmTrans' object
create_CohortDtstmTrans.multinom_list | Create 'CohortDtstmTrans' object
create_IndivCtstmTrans | Create 'IndivCtstmTrans' object
create_IndivCtstmTrans.flexsurvreg | Create 'IndivCtstmTrans' object
create_IndivCtstmTrans.flexsurvreg_list | Create 'IndivCtstmTrans' object
create_IndivCtstmTrans.params_surv | Create 'IndivCtstmTrans' object
create_lines_dt | Create a data table of treatment lines
create_params | Create a parameter object from a fitted model
create_params.flexsurvreg | Create a parameter object from a fitted model
create_params.flexsurvreg_list | Create a parameter object from a fitted model
create_params.lm | Create a parameter object from a fitted model
create_params.multinom | Create a parameter object from a fitted model
create_params.multinom_list | Create a parameter object from a fitted model
create_params.partsurvfit | Create a parameter object from a fitted model
create_PsmCurves | Create 'PsmCurves' object
create_PsmCurves.flexsurvreg_list | Create 'PsmCurves' object
create_PsmCurves.params_surv_list | Create 'PsmCurves' object
create_StateVals | Create a 'StateVals' object
create_StateVals.lm | Create a 'StateVals' object
create_StateVals.stateval_tbl | 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 models
custom | Random number generation distributions

## -- D --

define_model | Define and evaluate model expression
define_rng | Define and evaluate random number generation expressions
define_tparams | Define and evaluate transformed parameter expressions
dirichlet_rng | Random number generation distributions
dweibullNMA | Parameterization of the Weibull distribution for network meta-analysis

## -- E --

eval_model | Define and evaluate model expression
eval_rng | Define and evaluate random number generation expressions
eval_tparams | Define and evaluate transformed parameter expressions
expand.hesim_data | Expand hesim_data

## -- F --

fast_rgengamma | Random generation for generalized gamma distribution
fixed | Random number generation distributions
flexsurvreg_list | List of 'flexsurvreg' objects

## -- G --

gamma_rng | Random number generation distributions

## -- H --

hesim | 'hesim': Health-Economic Simulation Modeling and Decision Analysis
hesim_data | Data for health-economic simulation modeling
hesim_survdists | List of survival distributions
HweibullNMA | Parameterization of the Weibull distribution for network meta-analysis
hweibullNMA | Parameterization of the Weibull distribution for network meta-analysis

## -- I --

icea | Individualized cost-effectiveness analysis
icea.ce | Individualized cost-effectiveness analysis
icea.default | Individualized cost-effectiveness analysis
icea_pw | Individualized cost-effectiveness analysis
icea_pw.ce | Individualized cost-effectiveness analysis
icea_pw.default | Individualized cost-effectiveness analysis
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 transition model
input_mats | Input matrices for a statistical model

## -- L --

lognormal_rng | Random number generation distributions

## -- M --

mean_weibullNMA | Parameterization of the Weibull distribution for network meta-analysis
mom_beta | Method of moments for beta distribution
mom_gamma | Method of moments for gamma distribution
mstate3_exdata | Example data for a 3-state multi-state model
multinom3_exdata | Example data for a 3-state multinomial model
multinom_list | List of 'multinom' objects
multi_normal_rng | Random number generation distributions

## -- N --

normal_rng | Random number generation distributions

## -- P --

params | Parameter object
params_joined_surv | Parameters of joined survival models
params_joined_surv_list | Parameters of joined lists of survival models
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
Psm | N-state partitioned survival model
psm4_exdata | Example data for a 4-state partitioned survival model
PsmCurves | Partitioned survival curves
pweibullNMA | Parameterization of the Weibull distribution for network meta-analysis

## -- Q --

qalys | Quality-adjusted life-years object
qweibullNMA | Parameterization of the Weibull distribution for network meta-analysis

## -- R --

rcat | Random generation for categorical distribution
rdirichlet_mat | Random generation for multiple Dirichlet distributions
rmst_weibullNMA | Parameterization of the Weibull distribution for network meta-analysis
rng_distributions | Random number generation distributions
rpwexp | Random generation for piecewise exponential distribution
rweibullNMA | Parameterization of the Weibull distribution for network meta-analysis

## -- S --

stateprobs | State probability object
StateVals | Model for state values
stateval_tbl | Table to store state value parameters
summarize_ce | Summarize costs and effectiveness
surv_quantile | Survival quantiles

## -- T --

time_intervals | Time intervals
tparams | Transformed parameter object
tparams_mean | Predicted means
tparams_transprobs | Transition probabilities
tparams_transprobs.array | Transition probabilities
tparams_transprobs.data.frame | Transition probabilities
tparams_transprobs.data.table | Transition probabilities
tpmatrix | Transition probability matrix
tpmatrix_names | Names for elements of a transition probability matrix

## -- U --

uniform_rng | Random number generation distributions

## -- W --

weibullNMA | Parameterization of the Weibull distribution for network meta-analysis