GBprob: Calculation of vector of probabilities for the EPPM binomial...
In BinaryEPPM: Mean and Scale-Factor Modeling of Under- And Over-Dispersed Binary Data
GBprob R Documentation
Calculation of vector of probabilities for the EPPM binomial distribution.
Description
Given a vector of parameters and a scalar of the number of trials the function
returns a vector of probabilities. The name GBprob is used to avoid confusion
with EPPMprob which is the function calculating the probabilties given the
constructed vector vector of lambdas.
Usage
GBprob(twoparameter, nt)
Arguments
twoparameter
A vector of the parameters of the EPPM binomial distribution.
nt
The number of trials.
Value
Vector of probabilities
Author(s)
David M. Smith <dmccsmith@verizon.net>
References
Faddy M, Smith D. (2012). Extended Poisson Process Modeling and
Analysis of Grouped Binary Data. Biometrical Journal, 54, 426-435.
\Sexpr[results=rd]{tools:::Rd_expr_doi("10.1002/bimj.201100214")}.
Examples
twoparameter <- c(0.971242852,0.001465007)
names(twoparameter) <- c('p','b')
nt <- 37
GBprob(twoparameter,nt)
BinaryEPPM documentation built on June 22, 2024, 10:30 a.m.
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| GBprob | R Documentation |
Calculation of vector of probabilities for the EPPM binomial distribution.
Description
Given a vector of parameters and a scalar of the number of trials the function returns a vector of probabilities. The name GBprob is used to avoid confusion with EPPMprob which is the function calculating the probabilties given the constructed vector vector of lambdas.
Usage
GBprob(twoparameter, nt)
Arguments
twoparameter |
A vector of the parameters of the EPPM binomial distribution. |
nt |
The number of trials. |
Value
Vector of probabilities
Author(s)
David M. Smith <dmccsmith@verizon.net>
References
Faddy M, Smith D. (2012). Extended Poisson Process Modeling and Analysis of Grouped Binary Data. Biometrical Journal, 54, 426-435. \Sexpr[results=rd]{tools:::Rd_expr_doi("10.1002/bimj.201100214")}.
Examples
twoparameter <- c(0.971242852,0.001465007)
names(twoparameter) <- c('p','b')
nt <- 37
GBprob(twoparameter,nt)
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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