OpenMx statistics

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Citations per year

Number of citations per year for the bioinformatics software tool OpenMx
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Tool usage distribution map

This map represents all the scientific publications referring to OpenMx per scientific context
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Protocols

OpenMx specifications

Information


Unique identifier OMICS_23882
Name OpenMx
Software type Package/Module
Interface Command line interface
Restrictions to use None
Operating system Unix/Linux, Mac OS, Windows
Programming languages R
Computer skills Advanced
Version 2.83
Stability Stable
Maintained Yes

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Maintainer


  • person_outline Michael Neale

Publications for OpenMx

OpenMx citations

 (210)
library_books

Does the heritability of cognitive abilities vary as a function of parental education? Evidence from a German twin sample

2018
PLoS One
PMCID: 5940208
PMID: 29738571
DOI: 10.1371/journal.pone.0196597

[…] ecific environmental influences, also includes measurement error) variance components. The assumptions of the classical twin model, and their validity, have been discussed in detail elsewhere [,].The OpenMx package for R [] on raw data was used to fit structural equation models with full-information maximum likelihood estimation to the phenotypic covariance between twins. The relative fit of a mod […]

library_books

Precision, Reliability, and Effect Size of Slope Variance in Latent Growth Curve Models: Implications for Statistical Power Analysis

2018
Front Psychol
PMCID: 5932409
PMID: 29755377
DOI: 10.3389/fpsyg.2018.00294

[…] If all parameters of the LGCM can be specified a priori (i.e., they can be considered known at the time of planning), existing software such as Mplus (Muthen and Muthen, ), PinT (Snijders et al., ), OpenMx (Boker et al., ), simsem (Pornprasertmanit et al., ), or SIMR (Green and MacLeod, ) can be used to evaluate the power to reject candidate values of the parameter of interest—in our case, slope […]

library_books

Using Serial and Discrete Digit Naming to Unravel Word Reading Processes

2018
Front Psychol
PMCID: 5908969
PMID: 29706918
DOI: 10.3389/fpsyg.2018.00524

[…] variables (). Four variables were used in the current analysis, including serial and discrete digit naming and serial and discrete word reading. Factor mixture modeling was performed using R package OpenMx 2.0 (see , pp. 86–89). Following ; ; as clarified by de Jong, personal communication, August 2017), we fit a two-class mixture model to cluster participants into two unobserved latent classes r […]

library_books

Social Support and Strain Across Close Relationships: A Twin Study

2018
Behav Genet
PMCID: 5934464
PMID: 29651684
DOI: 10.1007/s10519-018-9899-x

[…] alysis approach would be to treat the data as ordinal. However, each of the support/strain measures has between 18 and 20 unique values (levels) and such analysis is rather computationally heavy, and OpenMx did not manage to find a model which would satisfy global optimum criteria for these measures and standard errors were large and not trustworthy. Therefore, we opted to analyze the non-transfor […]

library_books

Clear variation of spin splitting by changing electron distribution at non magnetic metal/Bi2O3 interfaces

2018
Sci Rep
PMCID: 5883063
PMID: 29615800
DOI: 10.1038/s41598-018-23787-4

[…] We performed density functional calculations within the general gradient approximation using OpenMX code, with the fully relativistic total angular momentum dependent pseudopotentials taking spin-orbit interaction (SOI) into account. We adopted norm-conserving pseudopotentials with an energy […]

call_split

Developmental Changes Within the Genetic Architecture of Social Communication Behavior: A Multivariate Study of Genetic Variance in Unrelated Individuals

2018
Biol Psychiatry
PMCID: 5855319
PMID: 29100628
DOI: 10.1016/j.biopsych.2017.09.020
call_split See protocol

[…] REML, as implemented in the Genome-wide Complex Trait Analysis (GCTA) software package, is currently restricted to bivariate situations . While multivariate GSEMs can be fit with SEM software such as OpenMx using both mxGREML and FIML algorithms, these models are currently computationally expensive (see Results). We therefore implemented GSEMs within R (version 3.2.4) (for details see ).In short, […]


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OpenMx institution(s)
Virginia Institute for Psychiatric and Behavioral Genetics, Virginia Commonwealth University, Richmond, VA, USA; Department of Psychology, University of Edinburgh, Edinburgh, UK; Department of Psychology, University of Virginia, Charlottesville, VA, USA; Department of Medical Social Sciences, Northwestern University, Evanston, IL, USA; Department of Computer Science, Virginia Commonwealth University, Richmond, VA, USA; Department of Human Development and Family Studies, Pennsylvania State University, State College, PA, USA; Department of Psychology, University of Oklahoma, Norman, OK, USA
OpenMx funding source(s)
Supported by the National Institutes of Health, specifically grants R01- DA022989, R37-DA018673 and R25-DA026119.

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