powered by
Extracts the convergence status from a model.
# S4 method for CEL conv(object, ...)# S4 method for EL conv(object, ...)# S4 method for ELT conv(object, ...)# S4 method for SummaryEL conv(object, ...)# S4 method for SummaryELT conv(object, ...)# S4 method for SummaryLM conv(object, ...)
# S4 method for EL conv(object, ...)
# S4 method for ELT conv(object, ...)
# S4 method for SummaryEL conv(object, ...)
# S4 method for SummaryELT conv(object, ...)
# S4 method for SummaryLM conv(object, ...)
A single logical.
An object that contains the convergence status.
Further arguments passed to methods.
conv(CEL): Extracts the convergence status of the model with respect to the parameter.
conv(CEL)
conv(EL): Extracts the convergence status of the model with respect to the Lagrange multiplier.
conv(EL)
conv(ELT): Extracts the convergence status of the test with respect to the parameter (or the Lagrange multiplier if the argument lhs is NULL).
conv(ELT)
lhs
NULL
conv(SummaryEL): Extracts the convergence status of the model with respect to the Lagrange multiplier.
conv(SummaryEL)
conv(SummaryELT): Extracts the convergence status of the test with respect to the parameter (or the Lagrange multiplier if the argument lhs is NULL).
conv(SummaryELT)
conv(SummaryLM): Extracts the convergence status of the model. See the documentation of EL and CEL.
conv(SummaryLM)
CEL, EL, ELT, getOptim()
getOptim()
## Convergence check for the overall model test data("mtcars") fit <- el_lm(mpg ~ ., data = mtcars) conv(fit)
Run the code above in your browser using DataLab