check_estimate_required_params

the expression that contain the definition

the_expr

the keyword used to generate random numbers in stats package

distr_key

Function to check if the parameters are sufficient to define a distribution
and if not see if we can estimate the parameters from the given parameters,
e.g. for gamma distribution, shape and rate can be estimated from mean and sd

internal

A collection of functions to construct Markov model for model-based cost-effectiveness analysis.
This includes creating Markov model (both time homogenous and time dependent models), decision analysis,
sensitivity analysis (deterministic and probabilistic). The package allows estimation of parameters for
the Markov model from a given individual patient level data, provided the data file follows some standard
data entry rules.

Sheeja Manchira Krishnan

packDAMipd

Decision Analysis Modelling Package with Parameters Estimation
Ability from Individual Patient Level Data

check_estimate_required_params function

Function to check if the parameters are sufficient to define a distribution
and if not see if we can estimate the parameters from the given parameters,
e.g. for gamma distribution, shape and rate can be estimated from mean and sd — check_estimate_required_params

Function to check if the parameters are sufficient to define a distribution
and if not see if we can estimate the parameters from the given parameters,
e.g. for gamma distribution, shape and rate can be estimated from mean and sd

check_estimate_required_params: Function to check if the parameters are sufficient to define a distribution and if not see if we can estimate the parameters from the given parameters, e.g. for gamma distribution, shape and rate can be estimated from mean and sd

Description

Usage

Arguments

Value

Details

Examples