genNcps_new: Calculation of the NCPs of each randomization sequence for...
In randomizeR: Randomization for Clinical Trials
genNcps_new R Documentation
Calculation of the NCPs of each randomization sequence for the doubly noncentral t-distribution
Description
Computes the noncentrality parameters delta and lambda for the doubly noncentral t-distribution of each randomization sequence.
Usage
genNcps_new(randSeq, bias, endp, weight = FALSE)
Arguments
randSeq
a list of randSeq(rCrSeq or others) with possible varying N's
bias
a list of biases - corresponding to the different randSeq's
endp
object of the class endpoint.
weight
if set to TRUE the weight will be set to 1, according to the paper
Value
a list containing the noncentrality parameters delta and lambda of all randomization sequences.
randomizeR documentation built on Sept. 19, 2023, 1:08 a.m.
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.
| genNcps_new | R Documentation |
Calculation of the NCPs of each randomization sequence for the doubly noncentral t-distribution
Description
Computes the noncentrality parameters delta and lambda for the doubly noncentral t-distribution of each randomization sequence.
Usage
genNcps_new(randSeq, bias, endp, weight = FALSE)
Arguments
randSeq |
a list of randSeq(rCrSeq or others) with possible varying N's |
bias |
a list of biases - corresponding to the different randSeq's |
endp |
object of the class endpoint. |
weight |
if set to TRUE the weight will be set to 1, according to the paper |
Value
a list containing the noncentrality parameters delta and lambda of all randomization sequences.
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.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.