simMlogitRes: Generate simulated residuals for a latent variable for mlogit
In telliott27-research/KOBdecomp: KOB Decomposition
View source: R/decomposition.R
simMlogitRes R Documentation
Generate simulated residuals for a latent variable for mlogit
Description
Based on Wolff (2012), this will generate simulated residuals from a mlogit model
such that the generated residual plus the linear prediction corresponds to the observed
outcome
Usage
simMlogitRes(m, df, outcome = "y")
Arguments
m
a multinom regression model from the nnet package
df
the data used to run the probit regression
outcome
the name of the outcome variable
Value
A matrix of simulated residuals, one column for each possible outcome
telliott27-research/KOBdecomp documentation built on March 19, 2022, 7:27 a.m.
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View source: R/decomposition.R
| simMlogitRes | R Documentation |
Generate simulated residuals for a latent variable for mlogit
Description
Based on Wolff (2012), this will generate simulated residuals from a mlogit model such that the generated residual plus the linear prediction corresponds to the observed outcome
Usage
simMlogitRes(m, df, outcome = "y")
Arguments
m |
a multinom regression model from the nnet package |
df |
the data used to run the probit regression |
outcome |
the name of the outcome variable |
Value
A matrix of simulated residuals, one column for each possible outcome
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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