FcnsByCatPredInts {EnvStats}  R Documentation 
EnvStats Functions for Prediction Intervals
Description
The EnvStats functions listed below are useful for computing prediction intervals and simultaneous prediction intervals. See Power and Sample Size for a list of functions useful for computing power and sample size for a design based on a prediction interval width, or a design based on a hypothesis test for future observations falling outside of a prediciton interval.
Details
Function Name  Description 
predIntGamma ,  Prediction interval for the next k 
predIntGammaAlt  observations or next set of k means for a 
Gamma distribution.  
predIntGammaSimultaneous ,  Construct a simultaneous prediction interval for the 
predIntGammaAltSimultaneous  next r sampling occasions based on a 
Gamma distribution.  
predIntLnorm ,  Prediction interval for the next k 
predIntLnormAlt  observations or geometric means from a 
Lognormal distribution.  
predIntLnormSimultaneous ,  Construct a simultaneous prediction interval for the 
predIntLnormAltSimultaneous  next r sampling occasions based on a 
Lognormal distribution.  
predIntNorm  Prediction interval for the next k observations 
or means from a Normal (Gaussian) distribution.  
predIntNormK  Compute the value of K for a prediction interval 
for a Normal distribution.  
predIntNormSimultaneous  Construct a simultaneous prediction interval for the 
next r sampling occasions based on a 

Normal distribution.  
predIntNormSimultaneousK  Compute the value of K for a simultaneous 
prediction interval for the next r sampling 

occasions based on a Normal distribution.  
predIntNpar  Nonparametric prediction interval for the next k 
of K observations. 

predIntNparSimultaneous  Construct a nonparametric simultaneous prediction 
interval for the next r sampling occasions. 

predIntPois  Prediction interval for the next k observations 
or sums from a Poisson distribution.  
[Package EnvStats version 2.8.1 Index]