Showing 12 of total 12 results (show query)
michaelhallquist
MplusAutomation:An R Package for Facilitating Large-Scale Latent Variable Analyses in Mplus
Leverages the R language to automate latent variable model estimation and interpretation using 'Mplus', a powerful latent variable modeling program developed by Muthen and Muthen (<https://www.statmodel.com>). Specifically, this package provides routines for creating related groups of models, running batches of models, and extracting and tabulating model parameters and fit statistics.
Maintained by Michael Hallquist. Last updated 4 days ago.
86 stars 12.92 score 664 scripts 13 dependentshwborchers
pracma:Practical Numerical Math Functions
Provides a large number of functions from numerical analysis and linear algebra, numerical optimization, differential equations, time series, plus some well-known special mathematical functions. Uses 'MATLAB' function names where appropriate to simplify porting.
Maintained by Hans W. Borchers. Last updated 1 years ago.
29 stars 12.34 score 6.6k scripts 931 dependentscrunch-io
crunch:Crunch.io Data Tools
The Crunch.io service <https://crunch.io/> provides a cloud-based data store and analytic engine, as well as an intuitive web interface. Using this package, analysts can interact with and manipulate Crunch datasets from within R. Importantly, this allows technical researchers to collaborate naturally with team members, managers, and clients who prefer a point-and-click interface.
Maintained by Greg Freedman Ellis. Last updated 8 days ago.
9 stars 10.47 score 200 scripts 2 dependentsrobinhankin
elliptic:Weierstrass and Jacobi Elliptic Functions
A suite of elliptic and related functions including Weierstrass and Jacobi forms. Also includes various tools for manipulating and visualizing complex functions.
Maintained by Robin K. S. Hankin. Last updated 24 days ago.
3 stars 9.31 score 54 scripts 79 dependentsjwiley
JWileymisc:Miscellaneous Utilities and Functions
Miscellaneous tools and functions, including: generate descriptive statistics tables, format output, visualize relations among variables or check distributions, and generic functions for residual and model diagnostics.
Maintained by Joshua F. Wiley. Last updated 4 days ago.
6 stars 7.78 score 241 scripts 4 dependentsvlyubchich
lawstat:Tools for Biostatistics, Public Policy, and Law
Statistical tests widely utilized in biostatistics, public policy, and law. Along with the well-known tests for equality of means and variances, randomness, and measures of relative variability, the package contains new robust tests of symmetry, omnibus and directional tests of normality, and their graphical counterparts such as robust QQ plot, robust trend tests for variances, etc. All implemented tests and methods are illustrated by simulations and real-life examples from legal statistics, economics, and biostatistics.
Maintained by Yulia R. Gel. Last updated 2 years ago.
7.34 score 484 scripts 6 dependentsmarkbravington
mvbutils:General utilities, workspace organization, code and docu editing, live package maintenance, etc
Hierarchical workspace tree, code editing and backup, easy package prep, editing of packages while loaded, per-object lazy-loading, easy documentation, macro functions, and miscellaneous utilities. Needed by debug package.
Maintained by Mark V. Bravington. Last updated 4 days ago.
6.57 score 138 scripts 18 dependentsahoshiyar
ordPens:Selection, Fusion, Smoothing and Principal Components Analysis for Ordinal Variables
Selection, fusion, and/or smoothing of ordinally scaled independent variables using a group lasso, fused lasso or generalized ridge penalty, as well as non-linear principal components analysis for ordinal variables using a second-order difference/smoothing penalty.
Maintained by Aisouda Hoshiyar. Last updated 11 months ago.
2 stars 3.79 score 31 scriptscran
LMERConvenienceFunctions:Model Selection and Post-Hoc Analysis for (G)LMER Models
The main function of the package is to perform backward selection of fixed effects, forward fitting of the random effects, and post-hoc analysis using parallel capabilities. Other functionality includes the computation of ANOVAs with upper- or lower-bound p-values and R-squared values for each model term, model criticism plots, data trimming on model residuals, and data visualization. The data to run examples is contained in package LCF_data.
Maintained by "Antoine Tremblay, Statistics Canada". Last updated 4 years ago.
2.00 scorecran
modMax:Community Structure Detection via Modularity Maximization
The algorithms implemented here are used to detect the community structure of a network. These algorithms follow different approaches, but are all based on the concept of modularity maximization.
Maintained by Maria Schelling. Last updated 10 years ago.
2 stars 1.30 score