naive_model_picker: Select a Logisitic Regression Model for a Given Prior
In COMBO: Correcting Misclassified Binary Outcomes in Association Studies
View source: R/naive_model_picker.R
naive_model_picker R Documentation
Select a Logisitic Regression Model for a Given Prior
Description
Select a Logisitic Regression Model for a Given Prior
Usage
naive_model_picker(prior)
Arguments
prior
A character string specifying the prior distribution for the naive
\beta parameters. Options are "t",
"uniform", "normal", or "dexp" (double Exponential, or Weibull).
Value
naive_model_picker returns a character string specifying the
logistic regression model to be turned into a .BUG file and used
for MCMC estimation with rjags.
COMBO documentation built on Oct. 30, 2024, 5:07 p.m.
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View source: R/naive_model_picker.R
| naive_model_picker | R Documentation |
Select a Logisitic Regression Model for a Given Prior
Description
Select a Logisitic Regression Model for a Given Prior
Usage
naive_model_picker(prior)
Arguments
prior |
A character string specifying the prior distribution for the naive
|
Value
naive_model_picker returns a character string specifying the
logistic regression model to be turned into a .BUG file and used
for MCMC estimation with rjags.
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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