Dopt.y.t.init: Given an initial design and assuming logistic regression,...
In mst1g15/biasedcoin:
Description
Usage
Arguments
Value
Description
Given an initial design and assuming logistic regression, compute the D-optimal objective function
(to be used in conjunction with optim)
Usage
1
Dopt.y.t.init(t, z, int, beta, epsilon = 1e-05)
Arguments
t
vector of treatments
z
vector of covariate values
int
set to TRUE if treatment-covariate interactions are included in the model
beta
current estimate of regression parameters
epsilon
a small real number used for regularization. If set to zero,
no regularization takes place
Value
value of the D-optimal objective function
mst1g15/biasedcoin documentation built on Nov. 26, 2019, 4:01 a.m.
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Description Usage Arguments Value
Description
Given an initial design and assuming logistic regression, compute the D-optimal objective function (to be used in conjunction with optim)
Usage
1 | Dopt.y.t.init(t, z, int, beta, epsilon = 1e-05)
|
Arguments
t |
vector of treatments |
z |
vector of covariate values |
int |
set to TRUE if treatment-covariate interactions are included in the model |
beta |
current estimate of regression parameters |
epsilon |
a small real number used for regularization. If set to zero, no regularization takes place |
Value
value of the D-optimal objective function
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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