Package: lavaan.survey
Type: Package
Title: Complex Survey Structural Equation Modeling (SEM)
Version: 1.1.3
Date: 2015-11-03
Author: Daniel Oberski
Maintainer: Daniel Oberski <daniel.oberski@gmail.com>
Description: Fit structural equation models (SEM) including factor analysis,
multivariate regression models with latent variables and many other latent
variable models while correcting estimates, standard errors, and
chi-square-derived fit measures for a complex sampling design.
Incorporate clustering, stratification, sampling weights, and
finite population corrections into a SEM analysis.
Wrapper around packages lavaan and survey.
Depends: R (>= 2.14.0), lavaan (>= 0.5-20), survey (>= 3.30-3)
Imports: MASS
License: GPL (>= 2)
URL: http://daob.nl/
Suggests: testthat, mice, mitools
NeedsCompilation: no
Packaged: 2015-11-09 09:13:04 UTC; daob
Repository: CRAN
Date/Publication: 2015-11-09 11:34:18
Package: StatMatch
Type: Package
Title: Statistical Matching
Version: 1.2.4
Date: 2016-01-13
Author: Marcello D'Orazio
Maintainer: Marcello D'Orazio <madorazi@istat.it>
Depends: R (>= 2.7.0), proxy, clue, survey, RANN, lpSolve
Suggests: MASS, Hmisc
Description: Integration of two data sources referred to the same target population which share a number of common variables (aka data fusion). Some functions can also be used to impute missing values in data sets through hot deck imputation methods. Methods to perform statistical matching when dealing with data from complex sample surveys are available too.
License: GPL (>= 2)
NeedsCompilation: no
Packaged: 2016-01-13 09:03:21 UTC; UTENTE
Repository: CRAN
Date/Publication: 2016-01-13 13:54:07
Package: CalibrateSSB
Type: Package
Title: Weighting and Estimation for Panel Data with Non-Response
Version: 1.0
Date: 2016-04-28
Author: Oyvind Langsrud
Maintainer: Oyvind Langsrud <oyl@ssb.no>
Depends: R (>= 3.0.0), survey
Description: Function to calculate weights and estimates for panel data with non-response.
License: GPL-2
NeedsCompilation: no
Packaged: 2016-04-28 10:45:59 UTC; oyl
Repository: CRAN
Date/Publication: 2016-04-28 15:55:19
Package: VIMGUI
Version: 0.9.0
Date: 2013-10-09
Title: Visualization and Imputation of Missing Values
Author: Daniel Schopfhauser, Matthias Templ, Andreas Alfons, Alexander Kowarik,
Bernd Prantner
Maintainer: Alexander Kowarik <alexander.kowarik@statistik.gv.at>
Depends: R (>= 2.13), tcltk, tkrplot, VIM (>=
4.0.0), survey, gWidgetsRGtk2
Imports: foreign, RGtk2, Cairo, Hmisc
Description: This package introduces new tools for the visualization of missing
and/or imputed values, which can be used for exploring the data and the
structure of the missing and/or imputed values. Depending on this structure
of the missing values, the corresponding methods may help to identify the
mechanism generating the missings and allows to explore the data including
missing values. In addition, the quality of imputation can be visually
explored using various univariate, bivariate, multiple and multivariate
plot methods. A graphical user interface allows an easy handling of the
implemented plot methods.
LazyData: TRUE
SystemRequirements: BWidget
License: GPL (>= 2)
URL: https://github.com/alexkowa/VIMGUI
Repository: CRAN
Collate: 'helperGUI.R' 'TKRaggr.R' 'TKRdevice.R' 'TKRmarginmatrix.R'
'TKRmatrixplot.R' 'TKRparcoordMiss.R' 'TKRpbox.R'
'TKRscattmatrixMiss.R' 'utils.R' 'VIMGUI.R' 'vmGUImenu.R'
'zzz.R'
Packaged: 2014-01-02 17:52:18 UTC; ripley
NeedsCompilation: no
Date/Publication: 2014-01-02 19:18:18
Package: cjoint
Version: 2.0.4
Date: 2016-03-07
Title: AMCE Estimator for Conjoint Experiments
Author: Anton Strezhnev, Elissa Berwick, Jens Hainmueller, Daniel Hopkins, Teppei Yamamoto
Maintainer: Anton Strezhnev <astrezhnev@fas.harvard.edu>
Depends: R (>= 2.0.0), sandwich, lmtest, ggplot2, survey
Imports: stats, utils, methods
Suggests: testthat
Description: An R implementation of the Average Marginal Component-specific Effects (AMCE) estimator presented in Hainmueller, J., Hopkins, D., and Yamamoto T. (2014) Causal Inference in Conjoint Analysis: Understanding Multi-Dimensional Choices via Stated Preference Experiments. Political Analysis 22(1):1-30.
License: GPL (>= 2)
NeedsCompilation: no
Packaged: 2016-03-08 02:00:03 UTC; anton
Repository: CRAN
Date/Publication: 2016-03-08 06:22:44
Package: svyPVpack
Type: Package
Title: A package for complex surveys including plausible values
Version: 0.1-1
Date: 2014-03-06
Author: Manuel Reif <Manuel.Reif@statistik.gv.at>, Jakob Peterbauer <Jakob.Peterbauer@statistik.gv.at>
Maintainer: Manuel Reif <Manuel.Reif@statistik.gv.at>
Description: This package deals with data which stem from survey designs including plausible values. This package has been created to handle data from Large Scale Assessments like PISA, PIAAC etc. which use complex survey designs to draw the sample and plausible values to report person related estimates. Various functions/statistics (mean, quantile, GLM etc.) are provided to handle this kind of data.
License: GPL-3
Depends: survey
Suggests: testthat
URL: https://github.com/manuelreif/svyPVpack
Packaged: 2014-03-06 19:57:43 UTC; manuel
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2014-03-07 11:58:51
Package: weightTAPSPACK
Title: Weight TAPS Data
Version: 0.1
Author: David G. Carlson, Michelle Torres, and Taeyong Park
Maintainer: David G. Carlson <carlson.david@wustl.edu>
Description: The weightTAPSPACK subsets The American Panel Survey (TAPS) data by outcome and covariates, models the attrition rates, imputes data for attrited individuals, and finds weights for analysis.
Depends: R (>= 3.0.0), methods, survey, plyr, HotDeckImputation, mice
License: GPL (>= 2)
LazyDataCompression: xz
LazyData: yes
NeedsCompilation: no
Packaged: 2015-09-25 22:21:51 UTC; david
Repository: CRAN
Date/Publication: 2015-09-26 09:09:00
providing 
.