logit

<code>logit</code> applies the logit transformation to convert a vector of values
between 0 and 1, to values between -Inf and Inf. Used to convert a
probability from a logistic regression model onto the linear predictor scale.

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

logit function

<dl><dt>p</dt>
<dd>Numeric vector of probabilities (i.e. values between 0 and 1) that
will be transformed.</dd></dl>

Arguments

Apply a logit transformation to an input — logit

<dl>

<dt>p</dt>
<dd>Numeric vector of probabilities (i.e. values between 0 and 1) that
will be transformed.</dd>

</dl>

logit: Apply a logit transformation to an input

Description

Usage

Value

Arguments

See Also

Examples