compute_CI {MortalityGaps} | R Documentation |
Function to generate correlated prediction intervals from a mvrnorm
Description
Function to generate correlated prediction intervals from a mvrnorm
Usage
compute_CI(pred_results, M1, M2, M3, h, iter, ci, cou)
Arguments
pred_results |
An object containing predicted values |
M1 |
Model 1 - Linear regression bp-life-expectancy. |
M2 |
Model 2 - Time-series D-gap. |
M3 |
Model 3 - Sex-gap. |
h |
The number of steps ahead for which prediction is required. |
iter |
Number of iterations. Default: 500 |
ci |
Confidence levels. Default: c(0.8, 0.95) |
cou |
Country name. |
[Package MortalityGaps version 1.0.7 Index]