R Graphical Manual

Last data update: 2014.03.03

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Results 1 - 6 of 6 found.
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MultiLCIRT : Multidimensional Latent Class Item Response Theory Models

Package: MultiLCIRT
Type: Package
Title: Multidimensional Latent Class Item Response Theory Models
Version: 2.10
Date: 2016-04-13
Author: Francesco Bartolucci, Silvia Bacci, Michela Gnaldi - University of Perugia (IT)
Maintainer: Francesco Bartolucci <bart@stat.unipg.it>
Description: Framework for the Item Response Theory analysis of dichotomous and ordinal polytomous outcomes under the assumption of multidimensionality and discreteness of the latent traits. The fitting algorithms allow for missing responses and for different item parameterizations and are based on the Expectation-Maximization paradigm. Individual covariates affecting the class weights may be included in the new version (since 2.1).
License: GPL (>= 2)
Depends: R (>= 2.0.0), MASS, limSolve
NeedsCompilation: yes
Packaged: 2016-04-13 05:21:49 UTC; francescobartolucci
Repository: CRAN
Date/Publication: 2016-04-13 09:27:59

● Data Source: CranContrib
● Cran Task View: Psychometrics
● 0 images, 23 functions, 2 datasets
● Reverse Depends: 2

MLCIRTwithin : Latent Class Item Response Theory (LC-IRT) Models under Within-Item Multidimensionality

Package: MLCIRTwithin
Type: Package
Title: Latent Class Item Response Theory (LC-IRT) Models under
Within-Item Multidimensionality
Version: 1.1
Date: 2016-02-03
Author: Francesco Bartolucci, Silvia Bacci - University of Perugia (IT)
Maintainer: Francesco Bartolucci <bart@stat.unipg.it>
Description: Framework for the Item Response Theory analysis of dichotomous and ordinal polytomous outcomes under the assumption of within-item multidimensionality and discreteness of the latent traits. The fitting algorithms allow for missing responses and for different item parametrizations and are based on the Expectation-Maximization paradigm. Individual covariates affecting the class weights may be included in the new version.
License: GPL (>= 2)
Depends: R (>= 2.0.0), MASS, limSolve, MultiLCIRT
NeedsCompilation: no
Packaged: 2016-02-03 17:55:44 UTC; francesco
Repository: CRAN
Date/Publication: 2016-02-03 22:49:40

● Data Source: CranContrib
● 0 images, 14 functions, 3 datasets
● Reverse Depends: 0

EMMAgeo : End-Member Modelling of Grain-Size Data

Package: EMMAgeo
Type: Package
Title: End-Member Modelling of Grain-Size Data
Version: 0.9.4
Date: 2016-03-19
Author: Michael Dietze, Elisabeth Dietze
Maintainer: Michael Dietze <mdietze@gfz-potsdam.de>
Description: End-member modelling analysis of grain-size data.
License: GPL-3
Depends: R (>= 3.2.1), GPArotation, limSolve, shape, shiny
Collate: "check.data.R" "convert.units.R" "create.EM.R"
"define.limits.R" "EMMAgeo-internal.R" "EMMAgeo-package.R"
"EMMA.R" "get.limits.R" "get.l.opt.R" "get.l.R" "get.q.R"
"GUI.R" "interpolate.classes.R" "mix.EM.R" "model.em.R"
"Mqs.uncertainty.R" "residual.EM.R" "robust.EM.R"
"test.factors.R" "test.l.R" "test.l.max.R" "test.parameters.R"
"test.robustness.R"
NeedsCompilation: no
Packaged: 2016-03-19 18:48:24 UTC; mdietze
Repository: CRAN
Date/Publication: 2016-03-19 23:02:28

● Data Source: CranContrib
● 22 images, 22 functions, 3 datasets
● Reverse Depends: 0

LIM : Linear Inverse Model examples and solution methods.

Package: LIM
Version: 1.4.6
Title: Linear Inverse Model examples and solution methods.
Author: Karline Soetaert <karline.soetaert@nioz.nl>,
Dick van Oevelen<dick.vanoevelen@nioz.nl>
Maintainer: Karline Soetaert <karline.soetaert@nioz.nl>
Depends: R (>= 2.10), limSolve, diagram
Description: Functions that read and solve linear inverse problems (food web problems, linear programming problems).
These problems find solutions to linear or quadratic functions:
min or max (f(x)), where f(x) = ||Ax-b||^2 or f(x) = sum(ai*xi)
subject to equality constraints Ex=f and inequality constraints Gx>=h. Uses package limSolve.
License: GPL (>= 2)
LazyData: yes
Packaged: 2014-12-24 13:45:37 UTC; rforge
Repository: CRAN
Repository/R-Forge/Project: lim
Repository/R-Forge/Revision: 57
Repository/R-Forge/DateTimeStamp: 2014-12-24 13:23:18
Date/Publication: 2014-12-26 11:07:11
NeedsCompilation: no

● Data Source: CranContrib
● 28 images, 13 functions, 12 datasets
● Reverse Depends: 0

BCE : Bayesian composition estimator: estimating sample (taxonomic) composition from biomarker data

Package: BCE
Version: 2.1
Title: Bayesian composition estimator: estimating sample (taxonomic)
composition from biomarker data
Author: Karel Van den Meersche <karel.van_den_meersche@cirad.fr>, Karline Soetaert <karline.soetaert@nioz.nl>
Maintainer: Karel Van den Meersche <karel.van_den_meersche@cirad.fr>
Depends: R (>= 2.0.1), FME, limSolve, Matrix
Description: Function to estimates taxonomic compositions from biomarker data, using a Bayesian approach.
License: GPL (>= 2)
LazyData: yes
Repository: CRAN
Repository/R-Forge/Project: bce
Repository/R-Forge/Revision: 65
Repository/R-Forge/DateTimeStamp: 2014-05-22 15:06:28
Date/Publication: 2014-05-22 19:53:10
Packaged: 2014-05-22 16:15:13 UTC; rforge
NeedsCompilation: no

● Data Source: CranContrib
● Cran Task View: Bayesian
● 20 images, 9 functions, 2 datasets
● Reverse Depends: 0

spaceExt : Extension of SPACE

Package: spaceExt
Version: 1.0
Date: 2011-11-10
Title: Extension of SPACE
Author: Shiyuan He <flyoverearth@163.com>.
Maintainer: Shiyuan He <flyoverearth@163.com>
Depends: limSolve, glasso
Description: undirected graph inference with missing data
License: GPL (>= 2)
Repository: CRAN
Packaged: 2011-12-16 13:21:41 UTC; Wayne He
Date/Publication: 2011-12-16 18:26:25

● Data Source: CranContrib
● 0 images, 2 functions, 1 datasets
● Reverse Depends: 0