rpp {oneinfl} | R Documentation |
Generate Random Counts from a Zero-Truncated Poisson Process
Description
Simulates count data from a zero-truncated Poisson process using specified parameters for the rate component.
Usage
rpp(b, X)
Arguments
b |
A numeric vector of coefficients for the rate component. |
X |
A matrix or data frame of predictor variables for the rate component. |
Details
This function generates count data from a zero-truncated Poisson process, which models count data without zeros. The process involves:
Calculating the rate parameter (
\lambda
) as\exp(X \cdot b)
.Iteratively computing probabilities for counts starting from 1 and adding to the cumulative probability until a randomly drawn value is matched.
This function is useful for generating synthetic data for testing or simulation studies involving zero-truncated Poisson models.
Value
A numeric vector of simulated count data.
See Also
truncreg
for fitting zero-truncated models.
Examples
# Example usage
set.seed(123)
X <- matrix(rnorm(100), ncol = 2)
b <- c(0.5, -0.2)
simulated_data <- rpp(b, X)
print(simulated_data)