invprobit {proDA} | R Documentation

## Inverse probit function

### Description

Calculate the values of the sigmoidal function that is defined by the cumulative normal distribution function (`pnorm`). This method provides a convenient wrapper for the `pnorm` that automatically handles negative zeta and is more consistent in its naming.

### Usage

    invprobit(x, rho, zeta, log = FALSE, oneminus = FALSE)

### Arguments

`x` | numeric vector
`rho` | numeric vector of length 1 or the same length as x. Specifies the inflection point of the inverse probit curve.
`zeta` | numeric vector of length 1 or the same length as x. Specifies the scale of the curve at the inflection point of the inverse probit curve.
`log` | boolean if the log of the result is returned
`oneminus` | boolean if one minus the result is returned

### Value

a numeric vector of `length(x)`.

### Examples

     xg <- seq(-5, 5, length.out=101)
     plot(xg, invprobit(xg, rho=-2, zeta=-0.3))

[Package proDA version 1.6.0 Index]