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appsilon

rhino:A Framework for Enterprise Shiny Applications

A framework that supports creating and extending enterprise Shiny applications using best practices.

Maintained by Kamil Żyła. Last updated 22 hours ago.

rhinoverseshiny

306 stars 9.11 score 145 scripts

qyaozh

Keng:Knock Errors Off Nice Guesses

Miscellaneous functions and data used in psychological research and teaching. Keng currently has a built-in dataset depress, and could (1) scale a vector; (2) compute the cut-off values of Pearson's r with known sample size; (3) test the significance and compute the post-hoc power for Pearson's r with known sample size; (4) conduct a priori power analysis and plan the sample size for Pearson's r; (5) compare lm()'s fitted outputs using R-squared, f_squared, post-hoc power, and PRE (Proportional Reduction in Error, also called partial R-squared or partial Eta-squared); (6) calculate PRE from partial correlation, Cohen's f, or f_squared; (7) conduct a priori power analysis and plan the sample size for one or a set of predictors in regression analysis; (8) conduct post-hoc power analysis for one or a set of predictors in regression analysis with known sample size.

Maintained by Qingyao Zhang. Last updated 2 months ago.

5.42 score 11 scripts

slzhang-fd

lvmcomp:Stochastic EM Algorithms for Latent Variable Models with a High-Dimensional Latent Space

Provides stochastic EM algorithms for latent variable models with a high-dimensional latent space. So far, we provide functions for confirmatory item factor analysis based on the multidimensional two parameter logistic (M2PL) model and the generalized multidimensional partial credit model. These functions scale well for problems with many latent traits (e.g., thirty or even more) and are virtually tuning-free. The computation is facilitated by multiprocessing 'OpenMP' API. For more information, please refer to: Zhang, S., Chen, Y., & Liu, Y. (2018). An Improved Stochastic EM Algorithm for Large-scale Full-information Item Factor Analysis. British Journal of Mathematical and Statistical Psychology. <doi:10.1111/bmsp.12153>.

Maintained by Siliang Zhang. Last updated 4 years ago.

openblascppopenmp

4 stars 3.30 score 2 scripts

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