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MNL model specification & interpretation of the parameters

Posted: 26 Apr 2022, 07:24
by Yashin
Dear Concern,

Is it possible to identify which of the parameters are statistically significant for the thresholds of p-value?
The estimation procedure in Apollo reports the model fit indices such as AIC, BIC, etc.
Are there any other model fit indices in Apollo that can be reported, to understand the incremental model fit other than AIC,BIC?
Is there another way to include the p-value in the estimation procedure?

Re: MNL model specification & interpretation of the parameters

Posted: 26 Apr 2022, 23:28
by stephanehess
Hi

I suggest you have a detailed look at the manual, available at http://apollochoicemodelling.com/manual.html

Stephane

Re: MNL model specification & interpretation of the parameters

Posted: 27 Apr 2022, 11:37
by Yashin
Dear Sir,

I have looked at the manual, the P-value is to be printed out in the output settings of the model. however, I tried it doing so but it usually gives an error.
Here is the code:

model_09 = apollo_estimate(apollo_beta, apollo_fixed, apollo_probabilities, apollo_inputs)

# ################################################################# #
#### MODEL OUTPUTS ####
# ################################################################# #
# ----------------------------------------------------------------- #
#---- FORMATTED OUTPUT (TO SCREEN) ----
# ----------------------------------------------------------------- #
apollo_modelOutput(model_09,printClassical = TRUE, printPVal = TRUE,
printT1 = FALSE, printDiagnostics = TRUE, printCovar = FALSE,
printCorr = FALSE, printOutliers = FALSE, printChange = FALSE)


But this gives the following error:
Error in apollo_modelOutput(model_09, printPVal = TRUE) :
unused argument (printPVal = TRUE)

Re: MNL model specification & interpretation of the parameters

Posted: 27 Apr 2022, 19:46
by stephanehess
Hi

you need to use

Code: Select all

apollo_modelOutput(model_09, modelOutput_settings=list(printPVal = TRUE))
not

Code: Select all

apollo_modelOutput(model_09, printPVal = TRUE)
Stephane