Title: Understanding Nonlinear Mixed Effects Modeling for Population
Description: This shows how NONMEM(R) <http://www.iconplc.com/innovation/nonmem/> software works. NONMEM's classical estimation methods like 'First Order(FO) approximation', 'First Order Conditional Estimation(FOCE)', and 'Laplacian approximation' are explained.

Packaged: 2018-04-10 12:21:04 UTC; Kyun-SeopBae

Title: k-Nearest Neighbor Diagnostic Tools
Author: Brian Walters <bfwalters83@yahoo.com>, Andrew O. Finley
Depends: sp, rgdal, spBayes, gplots, vcd
Description: A suite of graphical diagnostic tools to evaluate kNN

Author: Brian Walters <bfwalters83@yahoo.com>, Zhen Zhang
<zhangz19@stt.msu.edu>, Andrew O. Finley <finleya@msu.edu>
Depends: sp, rgdal, spBayes, gplots, vcd, MASS, MBA, fields, yaImpute,

Author: Brian Walters <walte137@msu.edu>, Andrew O. Finley

Title: Non-Negative Garrote Estimation with Penalized Initial
Description: Functions to compute the non-negative garrote estimator as
proposed by Breiman (1995) <https://www.jstor.org/stable/1269730>
with the penalized initial estimators extension as proposed by
Yuan and Lin (2007) <https://www.jstor.org/stable/4623260>.
Imports: multicool, glmnet, caret, mvnfast

Author: Koki Tsuyuzaki, Manabu Ishii, Itoshi Nikaido
Depends: R (>= 3.4.0), fields, rTensor, plot3D, tagcloud
Description: Some functions for performing non-negative matrix factorization, non-negative CANDECOMP/PARAFAC (CP) decomposition, non-negative Tucker decomposition, and generating toy model data. See Andrzej Cichock et al (2009) <doi:10.1002/9780470747278> and the reference section of GitHub README.md <https://github.com/rikenbit/nnTensor>, for details of the methods.
Packaged: 2018-06-01 00:42:22 UTC; tsuyusakikouki

Imports: methods, fields, rTensor, plot3D, tagcloud
Packaged: 2018-09-15 02:25:14 UTC; tsuyusakikouki

Packaged: 2019-07-28 06:39:17 UTC; tsuyusakikouki

Packaged: 2019-07-30 12:54:55 UTC; tsuyusakikouki

Packaged: 2019-08-06 11:13:38 UTC; tsuyusakikouki

Packaged: 2019-10-25 03:39:09 UTC; tsuyusakikouki