ps_estimate: Estimate parameters from a specified model using estimated...
In sachsmc/pseval: Methods for Evaluating Principal Surrogates of Treatment Response
Description
Estimate parameters from a specified model using estimated maximum likelihood
Usage
1
ps_estimate(start = NULL, method = "BFGS", control = list(), ...)
Arguments
start
Vector of starting values, if NULL, will come up with starting
values
method
Method to use for optimization, can be "pseudo-score" for
categorical BIP, or any of the methods
available in optim. Defaults to "BFGS"
control
List of control parameters for passed to optim
...
Arguments passed to optim or pseudo_score.
sachsmc/pseval documentation built on May 29, 2019, 12:55 p.m.
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Description
Estimate parameters from a specified model using estimated maximum likelihood
Usage
1 | ps_estimate(start = NULL, method = "BFGS", control = list(), ...)
|
Arguments
start |
Vector of starting values, if NULL, will come up with starting values |
method |
Method to use for optimization, can be "pseudo-score" for categorical BIP, or any of the methods available in optim. Defaults to "BFGS" |
control |
List of control parameters for passed to optim |
... |
Arguments passed to optim or pseudo_score. |
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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