| 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]