2.0.0 and references update

hfgolino · Aug 7, 2023 · 86a4aba · 86a4aba
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diff --git a/Readme.md b/Readme.md
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-### CRAN 1.2.3 | GitHub 1.3.0
+### CRAN 1.2.3 | GitHub 2.0.0
 
 <img src="inst/EGAnet_hex.png" width = 250 />
 
@@ -40,10 +40,10 @@ References
 Christensen, A. P. (2023). Unidimensional community detection: A Monte Carlo simulation, grid search, and comparison. *PsyArXiv*. doi:[10.31234/osf.io/ep3vx](https://doi.org/10.31234/osf.io/ep3vx)
 + Related functions: `community.unidimensional`
 
-Christensen, A. P., Garrido, L. E., & Golino, H. (in press). Unique variable analysis: A network psychometrics method to detect local dependence. *Multivariate Behavioral Research*. doi:[10.1080/00273171.2023.2194606](https://doi.org/10.1080/00273171.2023.2194606)
+Christensen, A. P., Garrido, L. E., & Golino, H. (2023). Unique variable analysis: A network psychometrics method to detect local dependence. *Multivariate Behavioral Research*. doi:[10.1080/00273171.2023.2194606](https://doi.org/10.1080/00273171.2023.2194606)
 + Related functions: `UVA`
 
-Christensen, A. P., Garrido, L. E., Guerra-Pena, K., & Golino, H. (in press). Comparing community detection algorithms in psychometric networks: A Monte Carlo simulation. *Behavior Research Methods*. doi:[10.31234/osf.io/hz89e](https://doi.org/10.31234/osf.io/hz89e)
+Christensen, A. P., Garrido, L. E., Guerra-Pena, K., & Golino, H. (2023). Comparing community detection algorithms in psychometric networks: A Monte Carlo simulation. *Behavior Research Methods*. doi:[10.31234/osf.io/hz89e](https://doi.org/10.31234/osf.io/hz89e)
 + Related functions: `EGA`
 
 Christensen, A. P., & Golino, H. (2021).
@@ -60,21 +60,41 @@ Christensen, A. P., & Golino, H. (2021). On the equivalency of factor and networ
 Christensen, A. P., Golino, H., & Silvia, P. J. (2020). A psychometric network perspective on the validity and validation of personality trait questionnaires. *European Journal of Personality*, *34*, 1095-1108. doi:[10.1002/per.2265](https://doi.org/10.1002/per.2265)
 + Related functions: `bootEGA`, `dimensionStability`, `EGA`, `itemStability`, and `UVA`
 
+Christensen, A. P., Gross, G. M., Golino, H., Silvia, P. J., & Kwapil, T. R. (2019). Exploratory graph analysis of the Multidimensional Schizotypy Scale. *Schizophrenia Research*, *206*, 43-51. doi:[10.1016/j.schres.2018.12.018](https://doi.org/10.1016/j.schres.2018.12.018)
++ Related functions: `CFA` and `EGA`
+
+Garcia-Pardina, A., Abad, F. J., Christensen, A. P., Golino, H., & Garrido, L. E. (2022). Dimensionality assessment in the presence of wording effects: A network psychometric and factorial approach. *PsyArXiv*. doi:[10.31234/osf.io/7yqau](https://doi.org/10.31234/osf.io/7yqau)
++ Related functions: `riEGA`
+
 Golino, H., Christensen, A. P., Moulder, R. G., Kim, S., & Boker, S. M. (2022). Modeling latent topics in social media using Dynamic Exploratory Graph Analysis: The case of the right-wing and left-wing trolls in the 2016 US elections. *Psychometrika*, *87*(1), 156-187. doi:[10.1007/s11336-021-09820-y](https://doi.org/10.1007/s11336-021-09820-y)
-+ Related functions: `dynEGA` and `simDFM`
++ Related functions: `dynEGA`, `net.loads`, and`simDFM`
 
-Golino, H., & Demetriou, A. (2017). Estimating the dimensionality of intelligence like data using Exploratory Graph Analysis. *Intelligence*, *62*, 54-70. doi:[j.intell.2017.02.007](https://www.sciencedirect.com/science/article/pii/S0160289616302240)
+Golino, H., & Demetriou, A. (2017). Estimating the dimensionality of intelligence like data using Exploratory Graph Analysis. *Intelligence*, *62*, 54-70. doi:[10.1016/j.intell.2017.02.007](https://doi.org/10.1016/j.intell.2017.02.007)
 + Related functions: `EGA`
 
-Golino, H., & Epskamp, S. (2017). Exploratory graph analysis: A new approach for estimating the number of dimensions in psychological research. *PLoS ONE*, *12*, e0174035. doi:[10.1371/journal.pone.0174035](https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0174035)
-+ Related functions: `EGA`
+Golino, H., & Epskamp, S. (2017). Exploratory graph analysis: A new approach for estimating the number of dimensions in psychological research. *PLoS ONE*, *12*, e0174035. doi:[10.1371/journal.pone.0174035](https://doi.org/10.1371/journal.pone.0174035)
++ Related functions: `CFA`, `bootEGA`, and `EGA`
 
 Golino, H., Moulder, R. G., Shi, D., Christensen, A. P., Garrido, L. E., Neito, M. D., Nesselroade, J., Sadana, R., Thiyagarajan, J. A., & Boker, S. M. (2020). Entropy fit indices: New fit measures for assessing the structure and dimensionality of multiple latent variables. *Multivariate Behavioral Research*. doi:[10.31234/osf.io/mtka2](https://doi.org/10.31234/osf.io/mtka2)
 + Related functions: `entropyFit`, `tefi`, and `vn.entropy`
 
-Golino, H., Shi, D., Christensen, A. P., Garrido, L. E., Nieto, M. D., Sadana, R., Thiyagarajan, J. A., & Martinez-Molina, A. (2020). Investigating the performance of exploratory graph analysis and traditional techniques to identify the number of latent factors: A simulation and tutorial. *Psychological Methods*, *25*, 292-320. doi:[10.1037/met0000255](https://psycnet.apa.org/doiLanding?doi=10.1037/met0000255)
+Golino, H., Nesselroade, J. R., & Christensen, A. P. (2022). Towards a psychology of individuals: The ergodicity information index and a bottom-up approach for finding generalizations. *PsyArXiv*. doi:[10.31234/osf.io/th6rm](https://doi.org/10.31234/osf.io/th6rm)
++ Related functions: `boot.ergoInfo`, `ergoInfo`, `jsd`, and `infoCluster`
+
+Golino, H., Shi, D., Christensen, A. P., Garrido, L. E., Nieto, M. D., Sadana, R., Thiyagarajan, J. A., & Martinez-Molina, A. (2020). Investigating the performance of exploratory graph analysis and traditional techniques to identify the number of latent factors: A simulation and tutorial. *Psychological Methods*, *25*, 292-320. doi:[10.1037/met0000255](https://doi.org/10.1037/met0000255)
 + Related functions: `EGA`
 
 Golino, H., Thiyagarajan, J. A., Sadana, M., Teles, M., Christensen, A. P., & Boker, S. M. (under review). Investigating the broad domains of intrinsic capacity, functional ability, and environment: An exploratory graph analysis approach for improving analytical methodologies for measuring healthy aging. *PsyArXiv*. doi:[10.31234/osf.io/hj5mc](https://doi.org/10.31234/osf.io/hj5mc)
 + Related functions `EGA.fit` and `tefi`
 
+Jamison, L., Christensen, A. P., & Golino, H. (2021). Optimizing Walktrap's community detection in networks using the Total Entropy Fit Index. *PsyArXiv*. doi:[10.31234/osf.io/9pj2m](https://doi.org/10.31234/osf.io/9pj2m)
++ Related functions: `EGA.fit` and `tefi`
+
+Jamison, L., Golino, H., & Christensen, A. P. (2023). Metric invariance in exploratory graph analysis via permutation testing. *PsyArXiv*. doi:[10.31234/osf.io/j4rx9](https://doi.org/10.31234/osf.io/j4rx9)
++ Related functions: `invariance`
+
+Jiménez, M., Abad, F. J., Garcia-Garzon, E., Golino, H., Christensen, A. P., & Garrido, L. E. (2023). Dimensionality assessment in bifactor structures with multiple general factors: A network psychometrics approach. *Psychological Methods*. doi:[10.1037/met0000590](https://doi.org/10.1037/met0000590)
++ Related functions: `hierEGA` and `net.scores`
+
+Shi, D., Christensen, A. P., Day, E., Golino, H., & Garrido, L. E. (2023). A Bayesian approach for dimensionality assessment in psychological networks. *PsyArXiv*. doi:[10.31234/osf.io/9rcev](https://doi.org/10.31234/osf.io/9rcev)
++ Related functions: `EGA`