rdt: Reliability Demonstration Test (RDT) Plan Calculator

In ReliaGrowR: Reliability Growth Analysis

Reliability Demonstration Test (RDT) Plan Calculator

Description

This function calculates the required test time or sample size for a Reliability Demonstration Test (RDT) based on specified reliability, mission time, confidence level, and Weibull shape parameter.

Usage

rdt(target, mission_time, conf_level, beta = 1, n = NULL, test_time = NULL)

Arguments

target	Required reliability at mission time (0 < target < 1).
mission_time	Mission duration (time units). Must be greater than 0.
conf_level	Desired confidence level (e.g., 0.9 for 90% confidence). The confidence level must be between 0 and 1 (exclusive).
beta	Weibull shape parameter (beta=1 corresponds to exponential distribution). Must be greater than 0. Default is 1.
n	Sample size (optional, supply if solving for test_time). Must be a positive integer.
test_time	Test time per unit (optional, supply if solving for n). Must be greater than 0.

Value

The function returns an object of class rdt that contains:

Distribution	Type of distribution used (Exponential or Weibull).
Beta	Weibull shape parameter.
Target_Reliability	Specified target reliability.
Mission_Time	Specified mission time.
Required_Test_Time	Calculated required test time (if n is provided).
Input_Sample_Size	Provided sample size (if test_time is calculated).
Required_Sample_Size	Calculated required sample size (if test_time is provided).
Input_Test_Time	Provided test time (if n is calculated).

Examples

#' # Example 1: Calculate required test time
plan1 <- rdt(target = 0.9, mission_time = 1000, conf_level = 0.9, beta = 1, n = 10)
print(plan1)
# Example 2: Calculate required sample size
plan2 <- rdt(target = 0.9, mission_time = 1000, conf_level = 0.9, beta = 1, test_time = 2000)
print(plan2)

ReliaGrowR documentation built on Nov. 7, 2025, 9:06 a.m.