inv_logit

<code>inv_logit</code> applies the inverse-logit transformation (expit/ logistic
function) to convert a vector of values between -Inf and Inf, to values
between 0 and 1. Used to convert the linear predictor of a logistic
regression model into a probability.

Evaluate the predictive performance of an existing (i.e. previously
developed) prediction/ prognostic model given relevant information about the
existing prediction model (e.g. coefficients) and a new dataset. Provides a
range of model updating methods that help tailor the existing model to the
new dataset; see Su et al. (2018) <doi:10.1177/0962280215626466>. Techniques
to aggregate multiple existing prediction models on the new data are also
provided; see Debray et al. (2014) <doi:10.1002/sim.6080> and Martin et al.
(2018) <doi:10.1002/sim.7586>).

Glen P. Martin

predRupdate

Prediction Model Validation and Updating

David Jenkins

Matthew Sperrin

inv_logit function

<dl><dt>x</dt>
<dd>Numeric vector with values between -Inf and Inf.</dd></dl>

Arguments

Apply the inverse logit function to an input — inv_logit

<dl>

<dt>x</dt>
<dd>Numeric vector with values between -Inf and Inf.</dd>

</dl>

inv_logit: Apply the inverse logit function to an input

Description

Usage

Value

Arguments

See Also

Examples