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... |
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