R: Joint Latent Process Models

# Joint Latent Process Models

## Documentation for package ‘JLPM’ version 1.0.3

- DESCRIPTION file
- User guides, package vignettes and other documentation

## Help Pages

JLPM-package | Estimation of joint latent process models
.expect | For internal use only ...
.integrate_info | For internal use only ...
.Pim | For internal use only ...
.Pim_prime | For internal use only ...
coef.jointLPM | Standard methods for estimated models
convert | Conversion
createFargs | Likelihood arguments
createX0 | createX0
diffSojournTime | Difference of sojourn times
ForInternalUse | For internal use only ...
IRT4Sselecting | Fisher information function, used in Step 4 _ Selecting from the 4Smethod
IRT4Sstaging | Projection function, used in Step 3 _ Staging from the 4Smethod
jointLPM | Estimation of latent process joint models for multivariate longitudinal outcomes and time-to-event data.
loglik | Wrapper to the Fortran subroutine that computes the log-likelihood
predictRE | Random effects prediction
print.jointLPM | Brief summary of a joint latent process model
REconddensity | REconddendity
removeNA | removeNA
sojournTime | Computation of sojourn time under specific condition
StandardMethods | Standard methods for estimated models
summary.jointLPM | Summary of a joint latent process model
vcov.jointLPM | Standard methods for estimated models
WaldMult | WaldMult Performs multivariate Wald tests.