Zobrazeno 1 - 10
of 108
pro vyhledávání: '"Lourens J. Waldorp"'
Publikováno v:
Journal of Statistical Software, Vol 93, Iss 1, Pp 1-46 (2020)
We present the R package mgm for the estimation of k-order mixed graphical models (MGMs) and mixed vector autoregressive (mVAR) models in high-dimensional data. These are a useful extensions of graphical models for only one variable type, since data
Externí odkaz:
https://doaj.org/article/dbd0110c05004c7daa23f0e658186f3c
Autor:
Jonas Dalege, Denny Borsboom, Frenk van Harreveld, Lourens J. Waldorp, Han L. J. van der Maas
Publikováno v:
Scientific Reports, Vol 7, Iss 1, Pp 1-11 (2017)
Abstract Attitudes can have a profound impact on socially relevant behaviours, such as voting. However, this effect is not uniform across situations or individuals, and it is at present difficult to predict whether attitudes will predict behaviour in
Externí odkaz:
https://doaj.org/article/06446c93c8bc4028ac6a928d1f45dffb
Publikováno v:
Frontiers in Psychology, Vol 10 (2019)
Mental disorders like major depressive disorder can be modeled as complex dynamical systems. In this study we investigate the dynamic behavior of individuals to see whether or not we can expect a transition to another mood state. We introduce a mean
Externí odkaz:
https://doaj.org/article/7a93df6b6bee44389df4ee8a3700bee3
Publikováno v:
Journal of Applied Mathematics, Vol 2015 (2015)
Calculation of assortative mixing by degree in networks indicates whether nodes with similar degree are connected to each other. In networks with scale-free distribution high values of assortative mixing by degree can be an indication of a hub-like c
Externí odkaz:
https://doaj.org/article/a699745f12bf4feabefb4a7207282c3c
Autor:
Sacha Epskamp, Angelique O. J. Cramer, Lourens J. Waldorp, Verena D. Schmittmann, Denny Borsboom
Publikováno v:
Journal of Statistical Software, Vol 48, Iss 4 (2012)
We present the qgraph package for R, which provides an interface to visualize data through network modeling techniques. For instance, a correlation matrix can be represented as a network in which each variable is a node and each correlation an edge;
Externí odkaz:
https://doaj.org/article/ce65a8c215e64a4f95379c324e0c7832
Publikováno v:
Journal of Statistical Software, Vol 44, Iss 14 (2011)
In standard fMRI analysis all voxels are tested in a massive univariate approach, that is, each voxel is tested independently. This requires stringent corrections for multiple comparisons to control the number of false positive tests (i.e., marking v
Externí odkaz:
https://doaj.org/article/4b74a623a86a41d68894803983284fea
Publikováno v:
Behavior Research Methods, 55(4), 2143-2156. Springer
Gaussian mixture models (GMMs) are a popular and versatile tool for exploring heterogeneity in multivariate continuous data. Arguably the most popular way to estimate GMMs is via the expectation–maximization (EM) algorithm combined with model selec
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::042052ac7b263cbd66301dbc98c4663c
https://doi.org/10.3758/s13428-022-01883-8
https://doi.org/10.3758/s13428-022-01883-8
Autor:
Lourens J. Waldorp, Maarten Marsman
Publikováno v:
Multivariate Behavioral Research, 57(6), 994-1006. Psychology Press Ltd
The Gaussian graphical model (GGM) has become a popular tool for analyzing networks of psychological variables. In a recent article in this journal, Forbes, Wright, Markon, and Krueger (FWMK) voiced the concern that GGMs that are estimated from parti
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0207d0a97dc1b5a1dd7e4df05b8dd989
http://www.scopus.com/inward/record.url?scp=85112536118&partnerID=8YFLogxK
http://www.scopus.com/inward/record.url?scp=85112536118&partnerID=8YFLogxK
Autor:
Denny Borsboom, Marie K. Deserno, Mijke Rhemtulla, Sacha Epskamp, Eiko I. Fried, Richard J. McNally, Donald J. Robinaugh, Marco Perugini, Jonas Dalege, Giulio Costantini, Adela-Maria Isvoranu, Anna C. Wysocki, Claudia D. van Borkulo, Riet van Bork, Lourens J. Waldorp
Publikováno v:
Nature Reviews Methods Primers, 2:91. Springer Nature
Nature Reviews Methods Primers, 2:91, 1-2. SPRINGERNATURE
Nature Reviews Methods Primers, 2:91, 1-2. SPRINGERNATURE
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3ace950c1f52e129e66c7af7bcf2d3ca
https://doi.org/10.1038/s43586-022-00178-8
https://doi.org/10.1038/s43586-022-00178-8
Publikováno v:
Psychological Methods, 26(6), 719-742. American Psychological Association
Estimating causal relations between two or more variables is an important topic in psychology. Establishing a causal relation between two variables can help us in answering that question of why something happens. However, using solely observational d
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f460a23e7d42e18b975e7e45bc0c8f7f
http://www.scopus.com/inward/record.url?scp=85115693459&partnerID=8YFLogxK
http://www.scopus.com/inward/record.url?scp=85115693459&partnerID=8YFLogxK