TMBAIC: Calculate marginal AIC for a fitted model
In dsem: Fit Dynamic Structural Equation Models
TMBAIC R Documentation
Calculate marginal AIC for a fitted model
Description
TMBAIC calculates AIC for a given model fit
Usage
TMBAIC(opt, k = 2, n = Inf)
Arguments
opt
the output from nlminb or optim
k
the penalty on additional fixed effects (default=2, for AIC)
n
the sample size, for use in AICc calculation (default=Inf, for which AICc=AIC)
Value
AIC, where a parsimonious model has a AIC relative to other candidate models
dsem documentation built on Sept. 12, 2024, 9:35 a.m.
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| TMBAIC | R Documentation |
Calculate marginal AIC for a fitted model
Description
TMBAIC calculates AIC for a given model fit
Usage
TMBAIC(opt, k = 2, n = Inf)
Arguments
opt |
the output from |
k |
the penalty on additional fixed effects (default=2, for AIC) |
n |
the sample size, for use in AICc calculation (default=Inf, for which AICc=AIC) |
Value
AIC, where a parsimonious model has a AIC relative to other candidate models
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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