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CEAmarkov (version 0.1.0)

Cost-Effectiveness Analysis using Markov Models

Description

Provides an accurate, fast and easy way to perform cost-effectiveness analyses. This package can be used to validate results generated using different methods and can help create a standard for cost-effectiveness analyses, that will help compare results from different studies.

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Version

Install

install.packages('CEAmarkov')

Monthly Downloads

3

Version

0.1.0

License

GPL-3

Maintainer

Noga Gershon

Last Published

April 9th, 2019

Functions in CEAmarkov (0.1.0)

check_variables_compatibility

Title This function ensures the model's input are compatible

fill_trans_matrix_val

Title This function embeds the all-cause mortality probabilities in the transition matrices

covert_discount_rate

Title This function converts an annual discount rate to the proper discount rate based on the cycle length of the model

Title sum of conditional probability one and two

cond_prob_calc_1

Title part one conditional probability sd calculation

Title This function extract the all-cause mortality probabilities using the inital age and time-horizon

cond_prob_calc_2

Title part two conditional probability sd calculation

main_sd_function

Title part two of the sd calculation

prepare_trans_matrix

Title This function embeds the all-cause mortality probabilities in the transition matrices

Title This function runs the simulation using the given parameters

Title This function calculates the standard deviation of the model's outputs

change_current_prob_to_cycle_prob

Title This function converts the given probabilities to match the model's cycle length

Title This function extract all-cause mortality probability based on the model's parameters

Title part one of the sd calculation

This is data to be included in my package

sd_sim_function

Title simulation function used in the sd calculation

Title conditional probability sd calculation