npmlreg-internal: Internal npmlreg functions
In npmlreg: Nonparametric Maximum Likelihood Estimation for Random Effect Models
Description
Usage
Arguments
Author(s)
Description
These are not to be called by the user.
Usage
1
2
3
4
weightslogl.calc.w(p, fjk, weights)
expand(x, k)
expand.vc(x, ni)
binomial.expand(Y, k, w)
Arguments
p
...
fjk
...
weights
...
x
...
k
...
ni
...
Y
...
w
...
Author(s)
Ross Darnell and Jochen Einbeck.
npmlreg documentation built on May 2, 2019, 9:31 a.m.
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Description Usage Arguments Author(s)
Description
These are not to be called by the user.
Usage
1 2 3 4 | weightslogl.calc.w(p, fjk, weights)
expand(x, k)
expand.vc(x, ni)
binomial.expand(Y, k, w)
|
Arguments
p |
... |
fjk |
... |
weights |
... |
x |
... |
k |
... |
ni |
... |
Y |
... |
w |
... |
Author(s)
Ross Darnell and Jochen Einbeck.
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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