B C D E F G H I L M N P Q R S T U W
beta_rng | Random number generation distributions |
bootstrap | Bootstrap a statistical model |
bootstrap.partsurvfit | Bootstrap a statistical model |
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 |
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 |
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 |
fast_rgengamma | Random generation for generalized gamma distribution |
fixed | Random number generation distributions |
flexsurvreg_list | List of 'flexsurvreg' objects |
gamma_rng | Random number generation distributions |
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 |
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 |
lognormal_rng | Random number generation distributions |
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 |
normal_rng | Random number generation distributions |
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 |
qalys | Quality-adjusted life-years object |
qweibullNMA | Parameterization of the Weibull distribution for network meta-analysis |
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 |
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 |
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 |
uniform_rng | Random number generation distributions |
weibullNMA | Parameterization of the Weibull distribution for network meta-analysis |