Last data update: 2014.03.03

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Results 1 - 10 of 19 found.
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lavaan.survey : Complex Survey Structural Equation Modeling (SEM)

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

● Data Source: CranContrib
● Cran Task View: OfficialStatistics, Psychometrics
● 0 images, 7 functions, 1 datasets
● Reverse Depends: 0

MIIVsem : Model Implied Instrumental Variable (MIIV) Estimation of Structural Equation Models

Encoding: UTF-8
Package: MIIVsem
Title: Model Implied Instrumental Variable (MIIV) Estimation of
Structural Equation Models
Version: 0.4.7
Author: Zachary Fisher, Ken Bollen, Kathleen Gates, and Mikko Rönkkö.
Maintainer: Zachary Fisher <fish.zachary@gmail.com>
Description: Functions for estimating structural equation models using model-
implied instrumental variables.
Depends: R (>= 3.1.2), lavaan, Matrix
Imports: methods
License: GPL-2
LazyData: true
RoxygenNote: 5.0.0
Suggests: testthat
NeedsCompilation: no
Packaged: 2016-03-22 22:38:31 UTC; macuser
Repository: CRAN
Date/Publication: 2016-03-23 00:07:31

● Data Source: CranContrib
● 0 images, 3 functions, 1 datasets
● Reverse Depends: 0

EffectLiteR : Average and Conditional Effects

Package: EffectLiteR
Version: 0.4-2
Date: 2016-03-28
Title: Average and Conditional Effects
Authors@R: c(person("Axel", "Mayer", role=c("aut","cre"),
email="amayer2010@gmail.com"),
person("Lisa", "Dietzfelbinger", role=c("ctb"),
email="lisa.dietzfelbinger@uni-jena.de"))
Author: Axel Mayer [aut, cre],
Lisa Dietzfelbinger [ctb]
Maintainer: Axel Mayer <amayer2010@gmail.com>
Description: Use structural equation modeling to estimate average and
conditional effects of a treatment variable on an outcome variable, taking into
account multiple continuous and categorical covariates.
Depends: R (>= 3.1.0), lavaan (>= 0.5-19)
Imports: methods, shiny (>= 0.11), foreign, ggplot2, nnet, survey,
lavaan.survey, car
License: GPL (>= 2)
URL: https://github.com/amayer2010/EffectLiteR
LazyData: yes
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2016-03-28 21:14:41 UTC; axel
Repository: CRAN
Date/Publication: 2016-03-28 23:30:41

● Data Source: CranContrib
1 images, 7 functions, 4 datasets
● Reverse Depends: 0

RSA : Response Surface Analysis

Encoding: UTF-8
Package: RSA
Type: Package
Title: Response Surface Analysis
Version: 0.9.10
Date: 2016-02-22
Author: Felix Schönbrodt
Maintainer: Felix Schönbrodt <felix@nicebread.de>
Description: Advanced response surface analysis. The main function RSA computes
and compares several nested polynomial regression models (full polynomial,
shifted and rotated squared differences, rising ridge surfaces, basic
squared differences). The package provides plotting functions for 3d
wireframe surfaces, interactive 3d plots, and contour plots. Calculates
many surface parameters (a1 to a4, principal axes, stationary point,
eigenvalues) and provides standard, robust, or bootstrapped standard errors
and confidence intervals for them.
Suggests: fields, SDMTools, rgl, qgraph, AICcmodavg
Depends: R (>= 2.15.0), lavaan (>= 0.5.20), ggplot2, lattice, tkrplot,
tcltk
Imports: plyr, RColorBrewer, aplpack
License: GPL (>= 2)
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2016-02-22 09:46:19 UTC; Felix
Repository: CRAN
Date/Publication: 2016-02-22 11:54:16

● Data Source: CranContrib
● 0 images, 13 functions, 2 datasets
● Reverse Depends: 0

RAMpath : Structural Equation Modeling using the reticular action model (RAM) Notation

Package: RAMpath
Type: Package
Title: Structural Equation Modeling using the reticular action model
(RAM) Notation
Version: 0.3.8
Date: 2012-05-29
Author: Zhiyong Zhang, Jack McArdle, Aki Hamagami, & Kevin Grimm
Maintainer: Zhiyong Zhang <zzhang4@nd.edu>
Description: RAMpath is a rewrite of RAMpath software developed by John McArdle and Steven Boker. In addition to performing regular SEM analysis through the R package lavaan, RAMpath has unique features. First, it can generate path diagrams according to a given model. Second, it can display path tracing rules through path diagrams and decompose total effects into their respective direct and indirect effects as well as decompose variances and covariances into individual bridges. Furthermore, RAMpath can fit dynamic system models automatically based on latent change scores and generate vector field plots based upon results obtained from a bivariate dynamic system.
Depends: R (>= 2.0), lavaan, ellipse
License: GPL-2
URL: http://nd.psychstat.org
Packaged: 2014-01-21 20:23:44 UTC; johnny
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2014-01-22 00:35:51

● Data Source: CranContrib
4 images, 27 functions, 0 datasets
● Reverse Depends: 0

eqs2lavaan : EQS Output Conversion to lavaan Functions

Package: eqs2lavaan
Type: Package
Title: EQS Output Conversion to lavaan Functions
Version: 3.0
Date: 2013-11-18
Author: Craig M. Krebsbach
Maintainer: Craig M. Krebsbach <craigmk@my.uri.edu>
Description: Transitioning from EQS to R for structural equation modeling (SEM)
is made easier with a set of functions to convert .out files into R code.
The EQS output can be converted into lavaan syntax and run in the R
environment. Other functions parse descriptive statistics and the covariance matrix
from an EQS .out file. A heat map plot of a covariance matrix is also
included.
License: GPL-2
Depends: lavaan, stringr
Collate: 'eqs2lavaan.R' 'eqsCorr.R' 'eqsCov.R' 'eqsDesc.R'
'out2lavaan.R' 'plotCov.R'
LazyLoad: Yes
Packaged: 2013-11-18 17:40:10 UTC; craig_m_k
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2013-11-18 20:42:38

● Data Source: CranContrib
● 0 images, 7 functions, 0 datasets
● Reverse Depends: 0

fSRM : Social Relations Analyses with Roles ("Family SRM")

Encoding: UTF-8
Package: fSRM
Type: Package
Title: Social Relations Analyses with Roles ("Family SRM")
Version: 0.6.4
Date: 2016-01-22
Author: Felix Schönbrodt, Lara Stas, Tom Loeys
Maintainer: Felix Schönbrodt <felix@nicebread.de>
Description: Social Relations Analysis with roles ("Family SRM") are computed,
using a structural equation modeling approach. Groups ranging from three members
up to an unlimited number of members are supported and the mean structure can
be computed. Means and variances can be compared between different groups of
families and between roles.
Depends: lavaan
Imports: plyr, reshape2, ggplot2, scales, foreign, tcltk, tcltk2,
gridExtra, methods
License: GPL (>= 2)
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2016-01-23 07:46:06 UTC; Felix
Repository: CRAN
Date/Publication: 2016-01-23 23:01:14

● Data Source: CranContrib
● 0 images, 8 functions, 5 datasets
● Reverse Depends: 0

coefficientalpha : Robust Coefficient Alpha and Omega with Missing and Non-Normal Data

Package: coefficientalpha
Type: Package
Title: Robust Coefficient Alpha and Omega with Missing and Non-Normal
Data
Version: 0.5
Date: 2015-05-14
Depends: rsem, lavaan
Author: Zhiyong Zhang and Ke-Hai Yuan
Maintainer: Zhiyong Zhang <johnnyzhz@gmail.com>
Description: Cronbach's alpha and McDonald's omega are widely used reliability or internal consistency measures in social, behavioral and education sciences. Alpha is reported in nearly every study that involves measuring a construct through multiple test items. The package 'coefficientalpha' calculates coefficient alpha and coefficient omega with missing data and non-normal data. Robust standard errors and confidence intervals are also provided. A test is also available to test the tau-equivalent and homogeneous assumptions. Version 0.5 added the bootstrap confidence intervals.
License: GPL
LazyLoad: yes
NeedsCompilation: no
Packaged: 2015-05-14 23:57:18 UTC; zzhang4
Repository: CRAN
Date/Publication: 2015-05-31 12:53:35

● Data Source: CranContrib
● 0 images, 7 functions, 0 datasets
● Reverse Depends: 0

influence.SEM : Case Influence in Structural Equation Models

Package: influence.SEM
Type: Package
Title: Case Influence in Structural Equation Models
Version: 1.5
Date: 2015-05-30
Author: Massimiliano Pastore & Gianmarco Altoe'
Depends: lavaan
Suggests: tcltk
Maintainer: Massimiliano Pastore <massimiliano.pastore@unipd.it>
Description: Influence measures in Structural Equation Models: a set of tools for evaluating several measures of case influence for Structural Equation Models following the approach of Pek and MacCallum (2011).
License: GPL (>= 2)
NeedsCompilation: no
Packaged: 2015-05-30 10:08:50 UTC; el
Repository: CRAN
Date/Publication: 2015-05-30 12:38:09

● Data Source: CranContrib
● 0 images, 6 functions, 2 datasets
● Reverse Depends: 0

RMediation : Mediation Analysis Confidence Intervals

Package: RMediation
Type: Package
Title: Mediation Analysis Confidence Intervals
Version: 1.1.4
Date: 2016-3-12
Author: Davood Tofighi <dtofighi@unm.com> and David P. MacKinnon
<davidpm@asu.edu>
Maintainer: Davood Tofighi <dtofighi@unm.edu>
Depends: R (>= 2.11.0), base, MASS, lavaan, e1071
Description: We provide functions to compute confidence
intervals (CIs) for a well-defined nonlinear function of the model
parameters (e.g., product of k coefficients) in single--level and
multilevel structural equation models.
License: GPL-2
URL: http://amp.gatech.edu/RMediation
http://www.public.asu.edu/~davidpm/ripl/Prodclin
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2016-03-13 21:52:40 UTC; Davood
Repository: CRAN
Date/Publication: 2016-03-14 07:57:49

● Data Source: CranContrib
5 images, 7 functions, 0 datasets
● Reverse Depends: 0