Package: lordif
Type: Package
Title: Logistic Ordinal Regression Differential Item Functioning using
IRT
Version: 0.3-3
Date: 2016-03-3
Author: Seung W. Choi, with contributions from Laura E. Gibbons and
Paul K. Crane
Maintainer: Seung W. Choi <choi.phd@gmail.com>
Description: Analysis of Differential Item Functioning (DIF) for
dichotomous and polytomous items using an iterative hybrid of
ordinal logistic regression and item response theory (IRT).
Depends: R (>= 2.7.0), mirt, rms
Imports: stats4
License: GPL (>= 2)
LazyLoad: yes
NeedsCompilation: no
Packaged: 2016-03-03 03:58:22 UTC; Seung Choi
Repository: CRAN
Date/Publication: 2016-03-03 05:56:21
Package: lpSolveAPI
Version: 5.5.2.0-17
Date: 2016-01-11
Title: R Interface to 'lp_solve' Version 5.5.2.0
Author: lp_solve <http://lpsolve.sourceforge.net/>,
Kjell Konis <kjell.konis@me.com>.
Maintainer: Kjell Konis <kjell.konis@me.com>
Description: The lpSolveAPI package provides an R interface to 'lp_solve',
a Mixed Integer Linear Programming (MILP) solver with support for pure
linear, (mixed) integer/binary, semi-continuous and special ordered sets
(SOS) models.
License: LGPL-2
Repository: CRAN
Repository/R-Forge/Project: lpsolve
Repository/R-Forge/Revision: 151
Repository/R-Forge/DateTimeStamp: 2016-01-11 22:09:07
Date/Publication: 2016-01-13 08:49:42
NeedsCompilation: yes
Packaged: 2016-01-11 22:25:34 UTC; rforge
Package: lpSolve
Version: 5.6.13
Date: 2015-09-18
Title: Interface to 'Lp_solve' v. 5.5 to Solve Linear/Integer Programs
Author: Michel Berkelaar and others
Maintainer: Samuel E. Buttrey <buttrey@nps.edu>
Description: Lp_solve is freely available (under LGPL 2) software for
solving linear, integer and mixed integer programs. In this
implementation we supply a "wrapper" function in C and some R
functions that solve general linear/integer problems,
assignment problems, and transportation problems. This version
calls lp_solve version 5.5.
License: LGPL-2
NeedsCompilation: yes
Packaged: 2015-09-18 22:53:52 UTC; sebuttre
Repository: CRAN
Date/Publication: 2015-09-19 10:00:23
Package: lpc
Type: Package
Title: Lassoed principal components for testing significance of
features
Version: 1.0.2
Date: 2013-12-15
Author: Daniela M Witten and Robert Tibshirani
Maintainer: Daniela M Witten <dwitten@uw.edu>
Description: Implements the LPC method of Witten&Tibshirani(Annals of Applied Statistics 2008) for identification of significant genes in a microarray experiment.
License: GPL (>= 2)
Packaged: 2013-12-15 20:34:31 UTC; dwitten
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2013-12-15 21:44:14
Package: lpint
Type: Package
Title: Local polynomial estimators of intensity function or its
derivatives
Version: 2.0
Date: 2014-04-02
Author: Feng Chen <feng.chen@unsw.edu.au>
Maintainer: Feng Chen <feng.chen@unsw.edu.au>
Description: Estimates the intensity function, or its derivative of a given order, of a multiplicative counting process using the local polynomial method
License: GPL (>= 2.0)
LazyLoad: yes
Packaged: 2014-04-02 10:44:50 UTC; z3243864
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2014-04-02 13:24:31
Package: lpme
Type: Package
Title: Local Polynomial Estimator in Measurement Error Models
Version: 1.0.1
Date: 2014-11-4
Author: Haiming Zhou <zhouh@email.sc.edu> and Xianzheng Huang <huang@stat.sc.edu>
Maintainer: Haiming Zhou <zhouh@email.sc.edu>
Description: Two local polynomial estimators for solving the errors-in-variables problem: one is in Delaigle, Fan, and Carroll (2009), and one is in Huang and Zhou (2014+). The SIMEX bandwidth selection method is also provided for both estimators.
License: GPL (>= 2)
Depends: R (>= 3.0.2)
Imports: Rcpp (>= 0.11.1)
LinkingTo: Rcpp, RcppArmadillo (>= 0.4.300.0)
Packaged: 2014-12-19 02:54:12 UTC; Haiming
NeedsCompilation: yes
Repository: CRAN
Date/Publication: 2014-12-19 07:37:09
Package: lpmodeler
Title: Modeler for linear programs (LP) and mixed integer linear
programs (MILP)
Version: 0.2-1
Date: 2014-02-20
Author: Cyrille Szymanski <cnszym@gmail.com> [aut]
Maintainer: Cyrille Szymanski <cnszym@gmail.com>
Description: lpmodeler is a set of user-friendly functions to simplify the modelling of linear programs (LP) and mixed integer programs (MIP). It provides a unified interface compatible with optimization packages: Rsymphony.
License: GPL (>= 2) | BSD_2_clause + file LICENSE
Suggests: Rsymphony (>= 0.1-17)
Imports: slam (>= 0.1-31)
Depends: R (>= 2.15.0)
Packaged: 2014-02-20 22:38:00 UTC; cns
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2014-02-21 05:59:10
providing 
.