# Estimated Coefficients for Joint Models

### Description

Extracts estimated coefficients from fitted joint models.

### Usage

1 2 3 4 5 6 |

### Arguments

`object` |
an object inheriting from class |

`process` |
for which model (i.e., linear mixed model or survival model) to extract the estimated coefficients. |

`include.splineCoefs` |
logical; if |

`...` |
additional arguments; currently none is used. |

### Details

When `process = "Event"`

both methods return the same output. However, for `process = "Longitudinal"`

,
the `coef()`

method returns the subject-specific coefficients, whereas `fixef()`

only the fixed effects.

### Value

A numeric vector or a matrix of the estimated parameters for the fitted model.

### Author(s)

Dimitris Rizopoulos d.rizopoulos@erasmusmc.nl

### See Also

`ranef.jointModel`

### Examples

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 | ```
## Not run:
# linear mixed model fit
fitLME <- lme(sqrt(CD4) ~ obstime * drug - drug,
random = ~ 1 | patient, data = aids)
# cox model fit
fitCOX <- coxph(Surv(Time, death) ~ drug, data = aids.id, x = TRUE)
# joint model fit
fitJOINT <- jointModel(fitLME, fitCOX,
timeVar = "obstime")
# fixed effects for the longitudinal process
fixef(fitJOINT)
# fixed effects + random effects estimates for the longitudinal
# process
coef(fitJOINT)
# fixed effects for the event process
fixef(fitJOINT, process = "Event")
coef(fitJOINT, process = "Event")
## End(Not run)
``` |