Fitted statistical models

flexsurvreg_list()

List of flexsurvreg objects

multinom_list()

List of multinom objects

partsurvfit()

Partitioned survival regression object

Probability distributions

mom_beta()

Method of moments for beta distribution

mom_gamma()

Method of moments for gamma distribution

fast_rgengamma()

Random generation for generalized gamma distribution

rcat()

Random generation for categorical distribution

rpwexp()

Random generation for piecewise exponential distribution

rdirichlet_mat()

Random generation for multiple Dirichlet distributions

Transition matrices

tpmatrix()

Transition probability matrix

tpmatrix_id()

Transition probability matrix IDs

tpmatrix_names()

Names for elements of a transition probability matrix

qmatrix(<matrix>) qmatrix(<data.table>) qmatrix(<data.frame>)

Transition intensity matrix from tabular object

qmatrix(<msm>)

Transition intensity matrix from msm object

expmat()

Matrix exponential

as_array3() as_tbl2()

Convert between 2D tabular objects and 3D arrays

as.data.table(<tparams_transprobs>)

Coerce to data.table

apply_rr()

Apply relative risks to transition probability matrices

Parameters

params

Parameter object

create_params()

Create a parameter object from a fitted model

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

tparams

Transformed parameter object

tparams_mean()

Predicted means

tparams_transprobs()

Transition probabilities

Input data

hesim_data()

Data for health economic simulation modeling

expand(<hesim_data>)

Expand hesim_data

create_trans_dt()

Create a data table of health state transitions

time_intervals()

Time intervals

input_mats()

Input matrices for a statistical model

get_labels()

Get value labels

set_labels()

Set value labels

Model definition

beta_rng() dirichlet_rng() fixed() custom() gamma_rng() lognormal_rng() multi_normal_rng() normal_rng() uniform_rng()

Random number generation distributions

define_rng() eval_rng()

Define and evaluate random number generation expressions

define_tparams() eval_tparams()

Define and evaluate transformed parameter expressions

define_model() eval_model()

Define and evaluate model expression

Health state values

stateval_tbl()

Table to store state value parameters

StateVals

Model for state values

create_StateVals()

Create a StateVals object

Discrete time state transition model

CohortDtstmTrans

Transitions for a cohort discrete time state transition model

create_CohortDtstmTrans()

Create CohortDtstmTrans object

CohortDtstm

Cohort discrete time state transition model

create_CohortDtstm()

Create CohortDtstm object

Partitioned survival model

Psm

N-state partitioned survival model

PsmCurves

Partitioned survival curves

create_PsmCurves()

Create PsmCurves object

Continuous time state transition model

IndivCtstmTrans

Transitions for an individual-level continuous time state transition model

create_IndivCtstmTrans()

Create IndivCtstmTrans object

IndivCtstm

Individual-level continuous time state transition model

Simulation output

disprog

Disease progression object

survival

Survival object

stateprobs

State probability object

costs

Costs object

qalys

Quality-adjusted life-years object

ce

A cost-effectiveness object

Summarize outcomes

incr_effect()

Incremental treatment effect

surv_quantile()

Survival quantiles

summary(<ce>) format(<summary.ce>)

Summary method for cost-effectiveness object

Cost-effectiveness analysis

cea() cea_pw()

Cost-effectiveness analysis

icer() format(<icer>)

Incremental cost-effectiveness ratio

Plotting

autoplot(<survival>)

Plot survival curves

autoplot(<stateprobs>)

Plot state probabilities

plot_ceplane()

Plot cost-effectiveness plane

plot_ceac()

Plot cost-effectiveness acceptability curve

plot_ceaf()

Plot cost-effectiveness acceptability frontier

plot_evpi()

Plot expected value of perfect information

Datasets

mstate3_exdata

Example data for a reversible 3-state multi-state model

multinom3_exdata

Example data for a 3-state multinomial model

psm4_exdata

Example data for a 4-state partitioned survival model

onc3

Multi-state oncology data for 3-state model

onc3p

Multi-state panel oncology data for 3-state model

as_pfs_os()

Convert multi-state data to PFS and OS data