Estimation of regression models for sparse asynchronous longitudinal observations, where time-dependent response and covariates are mismatched and observed intermittently within subjects. Kernel weighted estimating equations are used for generalized linear models with either time-invariant or time-dependent coefficients.

Author | Hongyuan Cao, Donglin Zeng, Jialiang Li, Jason P. Fine, and Shannon T. Holloway |

Date of publication | 2016-01-23 01:31:42 |

Maintainer | Shannon T. Holloway <sthollow@ncsu.edu> |

License | GPL-2 |

Version | 2.0 |

**asynchDataTD:** Generated Asynchronous Longitudinal Data with Time-Dependent...

**asynchDataTI:** Generated Asynchronous Longitudinal Data with Time-Invariant...

**asynchHK:** Regression Analysis for Time-Invariant Coefficients Using...

**AsynchLong-package:** Regression Analysis of Sparse Asynchronous Longitudinal Data

**asynchLV:** Regression Analysis Using Last Value Carried Forward

**asynchTD:** Regression Analysis for Time-Dependent Coefficients

**asynchTI:** Regression Analysis for Time-Invariant Coefficients

**asynchWLV:** Weighted Last Observation Carried Forward Regression Analysis...

AsynchLong

AsynchLong/NAMESPACE

AsynchLong/data

AsynchLong/data/asynchDataTD.RData

AsynchLong/data/asynchDataTI.RData

AsynchLong/R

AsynchLong/R/asynchLV.R
AsynchLong/R/uFuncIden.R
AsynchLong/R/optFunc.R
AsynchLong/R/asynchTD.R
AsynchLong/R/preprocessY.R
AsynchLong/R/uFunc.R
AsynchLong/R/preprocessX.R
AsynchLong/R/asynchWLV.R
AsynchLong/R/plotTD.R
AsynchLong/R/SD.R
AsynchLong/R/kernelAuto.R
AsynchLong/R/asynchTI.R
AsynchLong/R/distances.R
AsynchLong/R/local_kernel.R
AsynchLong/R/betaHat.R
AsynchLong/R/duFunc.R
AsynchLong/R/kernelFixed.R
AsynchLong/R/zzz.R
AsynchLong/R/asynchHK.R
AsynchLong/MD5

AsynchLong/DESCRIPTION

AsynchLong/man

AsynchLong/man/asynchHK.Rd
AsynchLong/man/asynchLV.Rd
AsynchLong/man/AsynchLong-package.Rd
AsynchLong/man/asynchTD.Rd
AsynchLong/man/asynchDataTI.Rd
AsynchLong/man/asynchWLV.Rd
AsynchLong/man/asynchDataTD.Rd
AsynchLong/man/asynchTI.Rd
Questions? Problems? Suggestions? Tweet to @rdrrHQ or email at ian@mutexlabs.com.

Please suggest features or report bugs with the GitHub issue tracker.

All documentation is copyright its authors; we didn't write any of that.