SimSem specifications

Information


Unique identifier OMICS_25580
Name SimSem
Alternative name Similarity and Semantic
Software type Application/Script
Interface Command line interface
Restrictions to use None
Operating system Unix/Linux
Programming languages Python
License ISC
Computer skills Advanced
Maintained Yes

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Documentation


Maintainer


  • person_outline Pontus Stenetorp

Publications for Similarity and Semantic

SimSem citations

 (2)
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

[…] 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 variance. For practical p […]

library_books

The wright stuff: reimagining path analysis reveals novel components of the sex determination hierarchy in drosophila melanogaster

2015
BMC Syst Biol
PMCID: 4558766
PMID: 26335107
DOI: 10.1186/s12918-015-0200-0

[…] CEGS populations. Genes within the baseline sex hierarchy GRN were simulated by first fitting the baseline SEM with the R package lavaan [] and then using these parameter estimates with the R package simsem [] to generate simulated data with the correct mean and covariance structure. A gene was simulated from a normal distribution with a mean and variances drawn at random with replacement from the […]

SimSem institution(s)
Department of Computer Science, University of Tokyo, Tokyo, Japan; School of Computer Science, University of Manchester, Manchester, UK; National Centre for Text Mining, University of Manchester, Manchester, UK; Microsoft Research Asia, Beijing, China
SimSem funding source(s)
Supported by Grant-in-Aid for Specially Promoted Research (MEXT, Japan) and the Royal Swedish Academy of Sciences.

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