binary.logreg.loglik: This function computes the log likelihood for the binary data...
In apeterson91/bekmr:
View source: R/sampling_fcts_KMR.R
Description
This function computes the log likelihood for the binary data
for the n schools, when the probability of obesity at school i
is linked through a logistic regression to covariates X_i (the i-th row
of the design matrix X refers to the p covariates - including the intercept -
relative to school i), with h(z_i) being the kernel machine regression value at school i
Usage
1
binary.logreg.loglik(y, h.z, X, beta, n)
apeterson91/bekmr documentation built on Feb. 12, 2020, 9:29 p.m.
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View source: R/sampling_fcts_KMR.R
Description
This function computes the log likelihood for the binary data for the n schools, when the probability of obesity at school i is linked through a logistic regression to covariates X_i (the i-th row of the design matrix X refers to the p covariates - including the intercept - relative to school i), with h(z_i) being the kernel machine regression value at school i
Usage
1 | binary.logreg.loglik(y, h.z, X, beta, n)
|
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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