tcplAICProb {tcpl} | R Documentation |
Calculate the AIC probabilities
Description
tcplAICProb
Calculates the probability that the model best represents
the data based on the AIC value for each model.
Usage
tcplAICProb(...)
Arguments
... |
Numeric vectors of AIC values |
Details
The function takes vectors of AIC values. Each vector represents the model AIC values for multiple observation sets. Each vector must contain the same number and order of observation sets. The calculation assumes every possible model is accounted for, and the results should be interpreted accordingly.
Value
A vector of probability values for each model given, as a list.
See Also
tcplFit
, AIC
for more information
about AIC values.
Examples
## Returns the probability for each model, given models with AIC values
## ranging from 80 to 100
tcplAICProb(80, 85, 90, 95, 100)
## Also works for vectors
m1 <- c(95, 195, 300) ## model 1 for three different observations
m2 <- c(100, 200, 295) ## model 2 for three different observations
tcplAICProb(m1, m2)
[Package tcpl version 3.1.0 Index]