Hprime_w_FAB: Derivative of objective function to be minimized, as...
In spencerwoody/saFAB: Selection-adjusted FAB inference
Description
Derivative of objective function to be minimized, as described by...
Usage
1
Hprime_w_FAB(w, theta, sigma, alpha, marginal_fun, ...)
Arguments
w
weight corresponding to theta; i.e., w(theta)
theta
the mean of sampling distribution y
sigma
standard deviation of sampling distribution for y
alpha
confidence level
marginal_fun
the function for the marginal distribution
...
optional arguments to the marginal function
t
the truncation, i.e. y ~ N(theta, sigma) * 1(abs(y) > t)
spencerwoody/saFAB documentation built on Feb. 18, 2020, 5:56 a.m.
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Description
Derivative of objective function to be minimized, as described by...
Usage
1 | Hprime_w_FAB(w, theta, sigma, alpha, marginal_fun, ...)
|
Arguments
w |
weight corresponding to theta; i.e., w(theta) |
theta |
the mean of sampling distribution y |
sigma |
standard deviation of sampling distribution for y |
alpha |
confidence level |
marginal_fun |
the function for the marginal distribution |
... |
optional arguments to the marginal function |
t |
the truncation, i.e. y ~ N(theta, sigma) * 1(abs(y) > t) |
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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