sitmo - Parallel Pseudo Random Number Generator (PPRNG) 'sitmo' Header Files

Provided within are two high quality and fast PPRNGs that may be used in an 'OpenMP' parallel environment. In addition, there is a generator for one dimensional low-discrepancy sequence. The objective of this library to consolidate the distribution of the 'sitmo' (C++98 & C++11), 'threefry' and 'vandercorput' (C++11-only) engines on CRAN by enabling others to link to the header files inside of 'sitmo' instead of including a copy of each engine within their individual package. Lastly, the package contains example implementations using the 'sitmo' package and three accompanying vignette that provide additional information.

Last updated 1 years ago

parallelrandom-generationrcpp

9.73 score 7 stars 191 packages 15 scripts 30k downloads

bibtex - Bibtex Parser

Utility to parse a bibtex file.

Last updated 1 years ago

bibtexparser

9.69 score 36 stars 16 packages 552 scripts 7.3k downloads

searcher - Query Search Interfaces

Provides a search interface to look up terms on 'Google', 'Bing', 'DuckDuckGo', 'Startpage', 'Ecosia', 'rseek', 'Twitter', 'StackOverflow', 'RStudio Community', 'GitHub', and 'BitBucket'. Upon searching, a browser window will open with the aforementioned search results.

Last updated 2 months ago

automaticerror-handlingerror-messagessearch-enginesearch-portals

8.17 score 72 stars 3 packages 19 scripts 475 downloads

RcppEnsmallen - Header-Only C++ Mathematical Optimization Library for 'Armadillo'

'Ensmallen' is a templated C++ mathematical optimization library (by the 'MLPACK' team) that provides a simple set of abstractions for writing an objective function to optimize. Provided within are various standard and cutting-edge optimizers that include full-batch gradient descent techniques, small-batch techniques, gradient-free optimizers, and constrained optimization. The 'RcppEnsmallen' package includes the header files from the 'Ensmallen' library and pairs the appropriate header files from 'armadillo' through the 'RcppArmadillo' package. Therefore, users do not need to install 'Ensmallen' nor 'Armadillo' to use 'RcppEnsmallen'. Note that 'Ensmallen' is licensed under 3-Clause BSD, 'Armadillo' starting from 7.800.0 is licensed under Apache License 2, 'RcppArmadillo' (the 'Rcpp' bindings/bridge to 'Armadillo') is licensed under the GNU GPL version 2 or later. Thus, 'RcppEnsmallen' is also licensed under similar terms. Note that 'Ensmallen' requires a compiler that supports 'C++11' and 'Armadillo' 9.800 or later.

Last updated 9 months ago

armadillocpp11ensmallenoptimizationrcpprcpparmadillo

7.51 score 30 stars 12 packages 1 scripts 1.0k downloads

cetcolor - CET Perceptually Uniform Colour Maps

Collection of perceptually uniform colour maps made by Peter Kovesi (2015) "Good Colour Maps: How to Design Them" <arXiv:1509.03700> at the Centre for Exploration Targeting (CET).

Last updated 1 years ago

cetcolor-palettescolor-scheme

6.00 score 31 stars 65 scripts 240 downloads

visualize - Graph Probability Distributions with User Supplied Parameters and Statistics

Graphs the pdf or pmf and highlights what area or probability is present in user defined locations. Visualize is able to provide lower tail, bounded, upper tail, and two tail calculations. Supports strict and equal to inequalities. Also provided on the graph is the mean and variance of the distribution.

Last updated 1 years ago

graphprobability-distribution

5.65 score 4 stars 82 scripts 4.6k downloads

uiucthemes - 'R' 'Markdown' Themes for 'UIUC' Documents and Presentations

A set of custom 'R' 'Markdown' templates for documents and presentations with the University of Illinois at Urbana-Champaign (UIUC) color scheme and identity standards.

Last updated 3 years ago

pandocrmarkdownrstudiouiuc

5.41 score 51 stars 4 scripts 157 downloads

rgen - Random Sampling Distribution C++ Routines for Armadillo

Provides popular sampling distributions C++ routines based in armadillo through a header file approach.

Last updated 1 years ago

armadillorandom-distributionsrcpprcpparmadillo

5.38 score 4 stars 4 packages 1 scripts 230 downloads

errorist - Automatically Search Errors or Warnings

Provides environment hooks that obtain errors and warnings which occur during the execution of code to automatically search for solutions.

Last updated 1 years ago

error-handlingerrorsr-programmingsearch-enginewarnings

5.24 score 27 stars 13 scripts 221 downloads

cIRT - Choice Item Response Theory

Jointly model the accuracy of cognitive responses and item choices within a Bayesian hierarchical framework as described by Culpepper and Balamuta (2015) <doi:10.1007/s11336-015-9484-7>. In addition, the package contains the datasets used within the analysis of the paper.

Last updated 3 years ago

armadillobayesianchoicecognitive-diagnostic-modelsgibbs-samplingitem-response-theoryrcpparmadillo

5.14 score 4 stars 23 scripts 257 downloads

simcdm - Simulate Cognitive Diagnostic Model ('CDM') Data

Provides efficient R and 'C++' routines to simulate cognitive diagnostic model data for Deterministic Input, Noisy "And" Gate ('DINA') and reduced Reparameterized Unified Model ('rRUM') from Culpepper and Hudson (2017) <doi: 10.1177/0146621617707511>, Culpepper (2015) <doi:10.3102/1076998615595403>, and de la Torre (2009) <doi:10.3102/1076998607309474>.

Last updated 12 months ago

cognitive-diagnostic-modelspsychometricsrcpprcpparmadillosimulation

4.95 score 2 packages 15 scripts 262 downloads

surreal - Create Datasets with Hidden Images in Residual Plots

Implements the "Residual (Sur)Realism" algorithm described by Stefanski (2007) <doi:10.1198/000313007X190079> to generate datasets that reveal hidden images or messages in their residual plots. It offers both predefined datasets and tools to embed custom text or images into residual structures. Allowing users to create intriguing visual demonstrations for teaching model diagnostics.

Last updated 2 months ago

diagnostic-plotsresidual-analysisresiduals

4.57 score 15 stars 3 scripts 223 downloads

edmdata - Data Sets for Psychometric Modeling

Collection of data sets from various assessments that can be used to evaluate psychometric models. These data sets have been analyzed in the following papers that introduced new methodology as part of the application section: Jimenez, A., Balamuta, J. J., & Culpepper, S. A. (2023) <doi:10.1111/bmsp.12307>, Culpepper, S. A., & Balamuta, J. J. (2021) <doi:10.1080/00273171.2021.1985949>, Yinghan Chen et al. (2021) <doi:10.1007/s11336-021-09750-9>, Yinyin Chen et al. (2020) <doi:10.1007/s11336-019-09693-2>, Culpepper, S. A. (2019a) <doi:10.1007/s11336-019-09683-4>, Culpepper, S. A. (2019b) <doi:10.1007/s11336-018-9643-8>, Culpepper, S. A., & Chen, Y. (2019) <doi:10.3102/1076998618791306>, Culpepper, S. A., & Balamuta, J. J. (2017) <doi:10.1007/s11336-015-9484-7>, and Culpepper, S. A. (2015) <doi:10.3102/1076998615595403>.

Last updated 2 months ago

cognitive-diagnostic-modelsdataedm

4.18 score 5 stars 1 packages 7 scripts 404 downloads

msos - Data Sets and Functions Used in Multivariate Statistics: Old School by John Marden

Multivariate Analysis methods and data sets used in John Marden's book Multivariate Statistics: Old School (2015) <ISBN:978-1456538835>. This also serves as a companion package for the STAT 571: Multivariate Analysis course offered by the Department of Statistics at the University of Illinois at Urbana-Champaign ('UIUC').

Last updated 1 years ago

multivariatestatistics

4.13 score 3 stars 1 packages 30 scripts 230 downloads

jjb - Balamuta Miscellaneous

Set of common functions used for manipulating colors, detecting and interacting with 'RStudio', modeling, formatting, determining users' operating system, feature scaling, and more!

Last updated 1 years ago

3.97 score 2 stars 1 packages 31 scripts 216 downloads

ucimlrepo - Explore UCI ML Repository Datasets

Find and import datasets from the University of California Irvine Machine Learning (UCI ML) Repository into R. Supports working with data from UCI ML repository inside of R scripts, notebooks, and 'Quarto'/'RMarkdown' documents. Access the UCI ML repository directly at <https://archive.ics.uci.edu/>.

Last updated 3 months ago

datadata-sciencemachine-learningstatisticsuci-machine-learninguci-machine-learning-repositoryweb-api

3.95 score 6 stars 5 scripts 266 downloads

dina - Bayesian Estimation of DINA Model

Estimate the Deterministic Input, Noisy "And" Gate (DINA) cognitive diagnostic model parameters using the Gibbs sampler described by Culpepper (2015) <doi:10.3102/1076998615595403>.

Last updated 5 years ago

armadillobayesiangibbs-samplerirtitem-response-theorypsychometricsrcpprcpparmadillo

3.85 score 14 stars 3 scripts 274 downloads

slcm - Sparse Latent Class Model for Cognitive Diagnosis

Perform a Bayesian estimation of the exploratory Sparse Latent Class Model for Binary Data described by Chen, Y., Culpepper, S. A., and Liang, F. (2020) <doi:10.1007/s11336-019-09693-2>.

Last updated 5 months ago

latent-class-modelpsychometricsrcpparmadillosparse

3.00 score 2 stars 1 scripts 185 downloads

edina - Bayesian Estimation of an Exploratory Deterministic Input, Noisy and Gate Model

Perform a Bayesian estimation of the exploratory deterministic input, noisy and gate (EDINA) cognitive diagnostic model described by Chen et al. (2018) <doi:10.1007/s11336-017-9579-4>.

Last updated 5 years ago

cognitive-diagnostic-modelscppdinaecdmitem-response-theorypsychometricsrcpparmadillo

3.00 score 2 stars 1 scripts 259 downloads

rrum - Bayesian Estimation of the Reduced Reparameterized Unified Model with Gibbs Sampling

Implementation of Gibbs sampling algorithm for Bayesian Estimation of the Reduced Reparameterized Unified Model ('rrum'), described by Culpepper and Hudson (2017) <doi: 10.1177/0146621617707511>.

Last updated 12 months ago

armadillocdmcognitive-diagnostic-modelsgibbs-sampling-algorithmpsychometricsrcpparmadillorrum

2.70 score 3 scripts 234 downloads

pg - Polya Gamma Distribution Sampler

Provides access to a series of highly performant random distribution samplers for the Polya Gamma Distribution as described by Polson, Scott, and Windle (2013) <arXiv:1205.0310> using either 'C++' headers for 'Rcpp' or 'RcppArmadillo' and 'R'. The 'C++' header approach was developed to enable computations in Balamuta (2021) <https://www.ideals.illinois.edu/items/121209>.

Last updated 1 years ago

2.70 score 1 stars 5 scripts 165 downloads

ohoegdm - Ordinal Higher-Order Exploratory General Diagnostic Model for Polytomous Data

Perform a Bayesian estimation of the ordinal exploratory Higher-order General Diagnostic Model (OHOEGDM) for Polytomous Data described by Culpepper, S. A. and Balamuta, J. J. (In Press) <doi:10.1080/00273171.2021.1985949>.

Last updated 3 years ago

diagnostic-modelexploratory-diagnostic-modelspsychometrics

2.70 score 214 downloads

errum - Exploratory Reduced Reparameterized Unified Model Estimation

Perform a Bayesian estimation of the exploratory reduced reparameterized unified model (ErRUM) described by Culpepper and Chen (2018) <doi:10.3102/1076998618791306>.

Last updated 5 years ago

cognitive-diagnostic-modelingcppecdmitem-response-theorypsychometricsrcpparmadillorrum

2.70 score 215 downloads