EMA_method: EMA method for calculating Tolerance interval

In cathal-ryan-96/Tolerance: Calculate TTSC using Tolerance, Prediction and Confidence Upper Bounds

Description

Calculating TTSC by the use of Tolerance upper bounds with the help of EMA method

Usage

EMA_method(data = data, LOQ = 0.02, alpha = 0.05, ...)

Arguments

data	the dataset to be used, can also use one of the pre-installed datasets in this package
cows	the amount of cows in the dataset
amount	the amount of milkings per cow
alpha	the alpha value to be used for Tolerance, Confidence or Prediction upper bounds
y_variable	column number for the y_variable to be used in calculating the TTSC
time_variable	column number referencing the variable that shows the time at which each milking occured
LOQ	Value at which each milking is censored at if it reaches that point

Author(s)

Cathal Ryan

Examples

Only tested using pred_table:
EMA_method(data = data, LOQ = 0.02, alpha = 0.05, delta = 0.05, cows = 25, amount = 8, y_variable = 5, time_variable = 3)

cathal-ryan-96/Tolerance documentation built on July 30, 2019, 11:04 p.m.