Description Usage Arguments Details Value Note Author(s) See Also Examples

View source: R/postprob.hlme.R

This function provides informations about the posterior classification
stemmed from a `hlme`

, `lcmm`

, `multlcmm`

or `Jointlcmm`

object.

1 |

`x` |
an object inheriting from classes |

`threshold` |
optional vector of thresholds for the posterior probabilities |

`...` |
further arguments to be passed to or from other methods. They are ignored in this function. |

This function provides the number of subjects classified a posteriori in
each latent class, the percentage of subjects classified with a posterior
probability above a certain threshold, and the classification table that
contains the mean of the posterior probability of belonging to each latent
class over the subjects classified in each of the latent classes. This table
aims at evaluating the quality of the posterior classification. For
`hlme`

, `lcmm`

objects, the posterior classification and the
classification table are derived from the posterior class-membership
probabilities given the vector of repeated measures that are contained in
pprob output matrix. For a `Jointlcmm`

object, the first posterior
classification and the classification table are derived from the posterior
class-membership probabilities given the vector of repeated measures and the
time-to-event information (that are contained in columns probYT1, probYT2,
etc in pprob output matrix). The second posterior classification is derived
from the posterior class-membership probabilities given only the vector of
repeated measures (that are contained in columns probY1, probY2, etc in
pprob output matrix).

A list containing the posterior classification, the posterior classification table and the percentage of subjects classified with a posterior probability above the given thresholds.

This function can only be used with latent class mixed models and joint latent class mixed models that include at least 2 latent classes

Cecile Proust-Lima, Benoit Liquet and Viviane Philipps

`Jointlcmm`

, `lcmm`

,
`hlme`

, `plot.lcmm`

1 2 3 4 |

lcmm documentation built on June 25, 2018, 9:01 a.m.

Embedding an R snippet on your website

Add the following code to your website.

For more information on customizing the embed code, read Embedding Snippets.