# genlogFunction: Generalized Logistic Function

## Description

This is the core function of the generalized logistic analysis used in `genlog`

.

## Usage

genlogFunction(x, x0, Ab, At, B, v)

## Arguments

x

A numeric vector with measurement moments or indices of measurement moments.

x0

A single numeric value specifying at which moment the curve is at its midpoint (when `v`

= 1).

Ab, At

Respectively the lowest and highest possible values of the dependent variable.

B

The growth rate (curve steepness).

v

Um - Peter, wat is 'v' eigenlijk?

## Details

For details, see Verboon & Peters (2017).

## References

Verboon, P. & Peters, G.-J. Y. (2017) Applying the generalised logistic model in SCD to deal with ceiling effects. *PsyArXiv* http://INSERTLINK

## Examples

# NOT RUN {
time <- 1:20;
yVar <- genlogFunction(1:20, 10, 1, 7, 1, 1);
plot(time, yVar, type='l', xlab='time', ylab='y');
# }