Title: Estimating Parameters for a Matched Case Control Design with a
Mismeasured Exposure using Instrumental Variables
Author: Chris M. Manuel and Samiran Sinha
Maintainer: Chris M. Manuel <cmmanuel@stat.tamu.edu>
Description: Applying the methodology from Manuel, Wang, and Sinha (2018), estimates for the
parameters for matched case control data with a mismeasured exposure are calculated
through the use of user supplied instrumental variables.
Packaged: 2018-08-29 18:20:37 UTC; Chris Matt

Packaged: 2018-09-07 21:50:47 UTC; Chris Matt

Author: Chris M Manuel, Samiran Sinha, and Suojin Wang
Maintainer: Chris M Manuel <cmmanuel@stat.tamu.edu>
Description: Applying the methodology from Manuel et al., estimates for the
through the use of user supplied instrumental variables (Submitted).
Packaged: 2019-02-01 23:12:00 UTC; Chris Matt

Title: Analysis of Matched Case Control Data with a Mismeasured
Exposure that is Accompanied by Instrumental Variables
Description: Applying the methodology from Manuel et al. to estimate parameters using a matched
case control data with a mismeasured exposure variable that is accompanied by
Packaged: 2019-02-07 20:52:27 UTC; Chris Matt

Title: The Matthews Correlation Coefficient
Description: The Matthews correlation coefficient (MCC) score is calculated (Matthews BW  (1975) <DOI:10.1016/0005-2795(75)90109-9>).

Title: Maximum Likelihood Estimation for Generalized Linear Mixed
Maintainer: Felipe Acosta Archila <acosta@umn.edu>
Description: Maximum likelihood estimation for generalized linear mixed models via Monte Carlo EM.

For a description of the algorithm see Brian S. Caffo, Wolfgang Jank and Galin L. Jones (2005)

Author: Ben Sherwood [aut, cre], Brad Price [aut]
Depends: R (>= 3.0.0), glmnet, flexclust, Matrix, parallel, faraway,
Description: Fits the Multivariate Cluster Elastic Net (MCEN) presented in Price & Sherwood (2018) <arXiv:1707.03530>. The MCEN model simultaneously estimates regression coefficients and a clustering of the responses for a multivariate response model. Currently accommodates the Gaussian and binomial likelihood.