logit: Logit Function
In jbryer/visualMLE: Visual Maximum Likelihood Estimation
Description
Logit Function
Usage
1
logit(x, beta0, beta1)
Arguments
x
vector of values.
beta0
intercept.
beta1
slope.
jbryer/visualMLE documentation built on Nov. 22, 2021, 12:18 a.m.
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Description
Logit Function
Usage
1 | logit(x, beta0, beta1)
|
Arguments
x |
vector of values. |
beta0 |
intercept. |
beta1 |
slope. |
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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