model.appr

0th

Percentile

Test for Model Appropriateness

Tests if a model is violating specified critical conditions.

Usage
model.appr(current.parms, critical.parms, do.not.fit = NULL)
Arguments
current.parms

A vector containing the indices of the current model.

critical.parms

A list containing vectors which specify the critical parameter sets. Needs to be given by index and not by name (for conversion see set.crit.parms).

do.not.fit

A vector containing the indices of the parameters that are not to be fitted.

Value

TRUE, if the model is appropriate, FALSE, if it violates the specified critical conditions.

Aliases
  • model.appr
Examples
# NOT RUN {
#define the models to be checked
model1 <- c(1,2,5)
model2 <- c(1,4,5)
#define the critical conditions
crits <- list(c(2,3))

#test the models
model.appr(current.parms = model1, critical.parms = crits)
model.appr(current.parms = model2, critical.parms = crits)
# }
Documentation reproduced from package FAMoS, version 0.1.0, License: GPL-3

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