boot.misclassGLM | R Documentation |
misclassGLM
FitsObtain bootstrapped standard errors.
boot.misclassGLM(ret, Y, X, Pmodel, PX, boot.fraction = 1, repetitions = 1000)
ret |
a fitted object of class inheriting from 'misclassGLM'. |
Y |
a vector of integers or numerics. This is the dependent variable. |
X |
a matrix containing the independent variables. |
Pmodel |
a fitted model (e.g. of class 'GLM' or 'mlogit') to implicitly produce variations of the predicted true values probabilities. (Usually conditional on the observed misclassified values and additional covariates.) |
PX |
covariates matrix suitable for predicting probabilities from |
boot.fraction |
fraction of sample to be used for estimating the bootstrapped standard errors, for speedup. |
repetitions |
number of bootstrap samples to be drown. |
misclassGLM
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