eval_assign_trans_prob: Attribute parameters to probabilities of transition matrix

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

Description

Attribute parameters to probabilities of transition matrix

Usage

eval_assign_trans_prob(tm, parameter_values)

Arguments

tm	A transition matrix in the format from the package 'mstate'
parameter_values	name value pairs of parameter values in the probability matrix

Details

Once the transition matrix is populated, the probabilities in transition matrix gets evaluated and assigned in this function call If the entry in transition matrix is NA, replaces it with zero similarly to evaluate and assign health states, the parameter values is excepted to be a list from assign_parameter() and define_parameter(). The exception is that if the parameters are defined directly and no nested calculation is required. For eg. assign_list = c(p1 = 0.2, p2 = 0.3, p3 = 0.4, p4 = 0.5) prob <- eval_assign_trans_prob(tmat, assign_list) will work For those with nested calculations, this has to be defined as below assign_list<-assign_parameters(define_parameters(p1 = 0.2, p2 = 0.3, p3 = 0.4, p4 = 0.5)) prob <- eval_assign_trans_prob(tmat, assign_list) The below will give error assign_list <- c(p1=0.1, p2 = "p1 + 0.2", p3=0, p4=0.3) prob <- eval_assign_trans_prob(tmat, assign_list)

Value

the transition table with the probabilities

Examples

tmat <- rbind(c(1, 2), c(3, 4))
colnames(tmat) <- rownames(tmat) <- c("Healthy", "Dead")
tmat <- populate_transition_matrix(2, tmat,
list_prob = c("p1", "p2", "p3", "p4"))
tmat_assigned <- eval_assign_trans_prob(tmat,
c(p1 = 0.2, p2 = 0.3, p3 = 0.4, p4 = 0.5))

packDAMipd documentation built on March 3, 2021, 5:07 p.m.