zero_inflate: Zero-inflated density constructer

In LaMa: Fast Numerical Maximum Likelihood Estimation for Latent Markov Models

Zero-inflated density constructer

Description

Constructs a zero-inflated density function from a given probability density function

Usage

zero_inflate(dist, discrete = NULL)

Arguments

dist	either a probability density function or a probability mass function
discrete	logical; if TRUE, the density for x = 0 will be zeroprob + (1-zeroprob) * dist(0, ...). Otherwise it will just be zeroprob. In standard cases, this will be determined automatically. For non-standard cases, set this to TRUE or FALSE depending on the type of dist. See details.

Details

The definition of zero-inflation is different for discrete and continuous distributions. For discrete distributions with p.m.f. f and zero-inflation probability p, we have

\Pr(X = 0) = p + (1 - p) \cdot f(0),

and

\Pr(X = x) = (1 - p) \cdot f(x), \quad x > 0.

For continuous distributions with p.d.f. f, we have

f_{\text{zinfl}}(x) = p \cdot \delta_0(x) + (1 - p) \cdot f(x),

where \delta_0 is the Dirac delta function at zero.

Value

zero-inflated density function with first argument x, second argument zeroprob, and additional arguments ... that will be passed to dist.

Examples

dzinorm <- zero_inflate(dnorm)
dzinorm(c(NA, 0, 2), 0.5, mean = 1, sd = 1)

zipois <- zero_inflate(dpois)
zipois(c(NA, 0, 1), 0.5, 1)

LaMa documentation built on June 8, 2025, 1:53 p.m.