par_bootstrap_mle: Parametric bootstrap for logistic regression with...
In samorso/IBpaper: Code for the paper "A Flexible Bias Correction Method based on Inconsistent Estimators"
par_bootstrap_mle R Documentation
Parametric bootstrap for logistic regression with misclassified responses
Description
Parametric bootstrap for logistic regression with misclassified responses
Usage
par_bootstrap_mle(beta, x, B, seed, ncores, fp = 0, fn = 0)
Arguments
beta
a p-vector of parameter
x
a n x p design matrix
B
the number of bootstrap replicates
seed
for random number generator
ncores
number of cores for parallelisation
fp
false positive rate
fn
false negative rate
samorso/IBpaper documentation built on April 29, 2022, 10:21 p.m.
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| par_bootstrap_mle | R Documentation |
Parametric bootstrap for logistic regression with misclassified responses
Description
Parametric bootstrap for logistic regression with misclassified responses
Usage
par_bootstrap_mle(beta, x, B, seed, ncores, fp = 0, fn = 0)
Arguments
beta |
a p-vector of parameter |
x |
a n x p design matrix |
B |
the number of bootstrap replicates |
seed |
for random number generator |
ncores |
number of cores for parallelisation |
fp |
false positive rate |
fn |
false negative rate |
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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