simulateResiduals: Generate simulated residuals for a latent variable
In telliott27-research/KOBdecomp: KOB Decomposition
View source: R/decomposition.R
simulateResiduals R Documentation
Generate simulated residuals for a latent variable
Description
Based on Wolff (2012), this will generate simulated residuals from a probit model
such that the generated residual plus the linear prediction corresponds to the observed
outcome (i.e. Y==1:Y*>0; Y==0:Y*<=0)
Usage
simulateResiduals(m, df, outcome = "y")
Arguments
m
a probit regression model
df
the data used to run the probit regression
outcome
the name of the outcome variable
Value
A vector of simulated residuals
telliott27-research/KOBdecomp documentation built on March 19, 2022, 7:27 a.m.
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View source: R/decomposition.R
| simulateResiduals | R Documentation |
Generate simulated residuals for a latent variable
Description
Based on Wolff (2012), this will generate simulated residuals from a probit model such that the generated residual plus the linear prediction corresponds to the observed outcome (i.e. Y==1:Y*>0; Y==0:Y*<=0)
Usage
simulateResiduals(m, df, outcome = "y")
Arguments
m |
a probit regression model |
df |
the data used to run the probit regression |
outcome |
the name of the outcome variable |
Value
A vector of simulated residuals
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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