logitexp {afdx} | R Documentation |
Exponential logit model for two variables
Description
Fit a logit model of v.density on v.fever v.density with a exponential coefficient for the v.density
Usage
logitexp(v.fever, v.density)
Arguments
v.fever |
numeric vector of 0/1 indicating fever or equivalent |
v.density |
numeric vector of values >= 0 indicating the density |
Details
logit(v.fever) ~ beta * (v. density ^ tau)
This corresponds to the model 3 describe by Smith, T., Schellenberg, J.A., Hayes, R., 1994. Attributable fraction estimates and case definitions for malaria in endemic areas. Stat Med 13, 2345–2358.
Value
S3 object of class afmodel with 4 components: data, model, coefficients and the estimated attributable fraction.
See Also
Examples
{
# Get the sample data
head(malaria_df1)
fit <- logitexp(malaria_df1$fever, malaria_df1$density)
fit
senspec(fit, c(1,100,500,1000,2000,4000,8000,16000, 32000,54000,100000))
}
[Package afdx version 1.1.1 Index]