reexports

These objects are imported from other packages. Follow the links
below to see their documentation.
<dl>
 <dt>generics</dt>
<dd><code><a href="https://generics.r-lib.org/reference/fit.html">fit</a></code></dd>
</dl>

internal

Define distribution families and fit them to
interval-censored and interval-truncated data, where the truncation
bounds may depend on the individual observation. The defined
distributions feature density, probability, sampling and fitting
methods as well as efficient implementations of the log-density log
f(x) and log-probability log P(x0 <= X <= x1) for use in 'TensorFlow'
neural networks via the 'tensorflow' package. Allows training
parametric neural networks on interval-censored and interval-truncated
data with flexible parameterization. Applications include Claims
Development in Non-Life Insurance, e.g. modelling reporting delay
distributions from incomplete data, see Bücher, Rosenstock (2022)
<doi:10.1007/s13385-022-00314-4>.

Alexander Rosenstock

reservr

Fit Distributions and Neural Networks to Censored and Truncated
Data

reexports function

These objects are imported from other packages. Follow the links
below to see their documentation.
<dl>
 <dt>generics</dt>
<dd><code><a href='https://generics.r-lib.org/reference/fit.html'>fit</a></code></dd>


</dl>

reexports: Objects exported from other packages

Description

Arguments