Showing 56 of total 56 results (show query)
easystats
effectsize:Indices of Effect Size
Provide utilities to work with indices of effect size for a wide variety of models and hypothesis tests (see list of supported models using the function 'insight::supported_models()'), allowing computation of and conversion between indices such as Cohen's d, r, odds, etc. References: Ben-Shachar et al. (2020) <doi:10.21105/joss.02815>.
Maintained by Mattan S. Ben-Shachar. Last updated 2 months ago.
anovacohens-dcomputeconversioncorrelationeffect-sizeeffectsizehacktoberfesthedges-ginterpretationstandardizationstandardizedstatistics
344 stars 16.38 score 1.8k scripts 29 dependentseasystats
report:Automated Reporting of Results and Statistical Models
The aim of the 'report' package is to bridge the gap between R’s output and the formatted results contained in your manuscript. This package converts statistical models and data frames into textual reports suited for publication, ensuring standardization and quality in results reporting.
Maintained by Rémi Thériault. Last updated 2 months ago.
anovasapaautomated-report-generationautomaticbayesiandescribeeasystatshacktoberfestmanuscriptmodelsreportreportingreportsscientificstatsmodels
698 stars 14.48 score 1.1k scripts 3 dependents
indrajeetpatil
ggstatsplot:'ggplot2' Based Plots with Statistical Details
Extension of 'ggplot2', 'ggstatsplot' creates graphics with details from statistical tests included in the plots themselves. It provides an easier syntax to generate information-rich plots for statistical analysis of continuous (violin plots, scatterplots, histograms, dot plots, dot-and-whisker plots) or categorical (pie and bar charts) data. Currently, it supports the most common types of statistical approaches and tests: parametric, nonparametric, robust, and Bayesian versions of t-test/ANOVA, correlation analyses, contingency table analysis, meta-analysis, and regression analyses. References: Patil (2021) <doi:10.21105/joss.03236>.
Maintained by Indrajeet Patil. Last updated 1 months ago.
bayes-factorsdatasciencedatavizeffect-sizeggplot-extensionhypothesis-testingnon-parametric-statisticsregression-modelsstatistical-analysis
2.1k stars 14.46 score 3.0k scripts 1 dependentseasystats
correlation:Methods for Correlation Analysis
Lightweight package for computing different kinds of correlations, such as partial correlations, Bayesian correlations, multilevel correlations, polychoric correlations, biweight correlations, distance correlations and more. Part of the 'easystats' ecosystem. References: Makowski et al. (2020) <doi:10.21105/joss.02306>.
Maintained by Brenton M. Wiernik. Last updated 28 days ago.
bayesianbayesian-correlationsbiserialcorcorrelationcorrelation-analysiscorrelationseasystatsgammagaussian-graphical-modelshacktoberfestmatrixmultilevel-correlationsoutlierspartialpartial-correlationsregressionrobustspearman
439 stars 14.23 score 672 scripts 10 dependents
vincentarelbundock
modelsummary:Summary Tables and Plots for Statistical Models and Data: Beautiful, Customizable, and Publication-Ready
Create beautiful and customizable tables to summarize several statistical models side-by-side. Draw coefficient plots, multi-level cross-tabs, dataset summaries, balance tables (a.k.a. "Table 1s"), and correlation matrices. This package supports dozens of statistical models, and it can produce tables in HTML, LaTeX, Word, Markdown, PDF, PowerPoint, Excel, RTF, JPG, or PNG. Tables can easily be embedded in 'Rmarkdown' or 'knitr' dynamic documents. Details can be found in Arel-Bundock (2022) <doi:10.18637/jss.v103.i01>.
Maintained by Vincent Arel-Bundock. Last updated 1 months ago.
927 stars 13.39 score 6.2k scripts 2 dependentseasystats
see:Model Visualisation Toolbox for 'easystats' and 'ggplot2'
Provides plotting utilities supporting packages in the 'easystats' ecosystem (<https://github.com/easystats/easystats>) and some extra themes, geoms, and scales for 'ggplot2'. Color scales are based on <https://materialui.co/>. References: Lüdecke et al. (2021) <doi:10.21105/joss.03393>.
Maintained by Indrajeet Patil. Last updated 20 days ago.
data-visualizationeasystatsggplot2hacktoberfestplottingseestatisticsvisualisationvisualization
902 stars 13.22 score 2.0k scripts 3 dependentseasystats
easystats:Framework for Easy Statistical Modeling, Visualization, and Reporting
A meta-package that installs and loads a set of packages from 'easystats' ecosystem in a single step. This collection of packages provide a unifying and consistent framework for statistical modeling, visualization, and reporting. Additionally, it provides articles targeted at instructors for teaching 'easystats', and a dashboard targeted at new R users for easily conducting statistical analysis by accessing summary results, model fit indices, and visualizations with minimal programming.
Maintained by Daniel Lüdecke. Last updated 27 days ago.
dataanalyticsdatascienceeasystatshacktoberfestmodelsperformance-metricsregression-modelsstatistics
1.1k stars 13.01 score 1.8k scripts 1 dependentseasystats
modelbased:Estimation of Model-Based Predictions, Contrasts and Means
Implements a general interface for model-based estimations for a wide variety of models, used in the computation of marginal means, contrast analysis and predictions. For a list of supported models, see 'insight::supported_models()'.
Maintained by Dominique Makowski. Last updated 2 days ago.
contrast-analysiscontrastseasystatsestimateggplot2hacktoberfestmarginalmarginal-effectsmeanspredict
244 stars 12.44 score 315 scripts 4 dependentsindrajeetpatil
statsExpressions:Tidy Dataframes and Expressions with Statistical Details
Utilities for producing dataframes with rich details for the most common types of statistical approaches and tests: parametric, nonparametric, robust, and Bayesian t-test, one-way ANOVA, correlation analyses, contingency table analyses, and meta-analyses. The functions are pipe-friendly and provide a consistent syntax to work with tidy data. These dataframes additionally contain expressions with statistical details, and can be used in graphing packages. This package also forms the statistical processing backend for 'ggstatsplot'. References: Patil (2021) <doi:10.21105/joss.03236>.
Maintained by Indrajeet Patil. Last updated 1 months ago.
bayesian-inferencebayesian-statisticscontingency-tablecorrelationeffectsizemeta-analysisparametricrobustrobust-statisticsstatistical-detailsstatistical-teststidy
312 stars 10.92 score 146 scripts 2 dependents
neuropsychology
psycho:Efficient and Publishing-Oriented Workflow for Psychological Science
The main goal of the psycho package is to provide tools for psychologists, neuropsychologists and neuroscientists, to facilitate and speed up the time spent on data analysis. It aims at supporting best practices and tools to format the output of statistical methods to directly paste them into a manuscript, ensuring statistical reporting standardization and conformity.
Maintained by Dominique Makowski. Last updated 4 years ago.
apaapa6bayesiancorrelationformatinterpretationmixed-modelsneurosciencepsychopsychologyrstanarmstatistics
149 stars 10.86 score 628 scripts 5 dependents
ludvigolsen
cvms:Cross-Validation for Model Selection
Cross-validate one or multiple regression and classification models and get relevant evaluation metrics in a tidy format. Validate the best model on a test set and compare it to a baseline evaluation. Alternatively, evaluate predictions from an external model. Currently supports regression and classification (binary and multiclass). Described in chp. 5 of Jeyaraman, B. P., Olsen, L. R., & Wambugu M. (2019, ISBN: 9781838550134).
Maintained by Ludvig Renbo Olsen. Last updated 25 days ago.
39 stars 10.31 score 492 scripts 5 dependents
fsolt
dotwhisker:Dot-and-Whisker Plots of Regression Results
Create quick and easy dot-and-whisker plots of regression results. It takes as input either (1) a coefficient table in standard form or (2) one (or a list of) fitted model objects (of any type that has methods implemented in the 'parameters' package). It returns 'ggplot' objects that can be further customized using tools from the 'ggplot2' package. The package also includes helper functions for tasks such as rescaling coefficients or relabeling predictor variables. See more methodological discussion of the visualization and data management methods used in this package in Kastellec and Leoni (2007) <doi:10.1017/S1537592707072209> and Gelman (2008) <doi:10.1002/sim.3107>.
Maintained by Yue Hu. Last updated 6 months ago.
60 stars 10.14 score 680 scripts
jinseob2kim
jsmodule:'RStudio' Addins and 'Shiny' Modules for Medical Research
'RStudio' addins and 'Shiny' modules for descriptive statistics, regression and survival analysis.
Maintained by Jinseob Kim. Last updated 14 days ago.
medicalrstudio-addinsshinyshiny-modulesstatistics
21 stars 8.69 score 61 scripts
psychbruce
bruceR:Broadly Useful Convenient and Efficient R Functions
Broadly useful convenient and efficient R functions that bring users concise and elegant R data analyses. This package includes easy-to-use functions for (1) basic R programming (e.g., set working directory to the path of currently opened file; import/export data from/to files in any format; print tables to Microsoft Word); (2) multivariate computation (e.g., compute scale sums/means/... with reverse scoring); (3) reliability analyses and factor analyses; (4) descriptive statistics and correlation analyses; (5) t-test, multi-factor analysis of variance (ANOVA), simple-effect analysis, and post-hoc multiple comparison; (6) tidy report of statistical models (to R Console and Microsoft Word); (7) mediation and moderation analyses (PROCESS); and (8) additional toolbox for statistics and graphics.
Maintained by Han-Wu-Shuang Bao. Last updated 2 days ago.
anovadata-analysisdata-sciencelinear-modelslinear-regressionmultilevel-modelsstatisticstoolbox
176 stars 8.16 score 316 scripts 3 dependents
ibecav
CGPfunctions:Powell Miscellaneous Functions for Teaching and Learning Statistics
Miscellaneous functions useful for teaching statistics as well as actually practicing the art. They typically are not new methods but rather wrappers around either base R or other packages.
Maintained by Chuck Powell. Last updated 4 years ago.
27 stars 7.28 score 122 scripts
strohne
volker:High-Level Functions for Tabulating, Charting and Reporting Survey Data
Craft polished tables and plots in Markdown reports. Simply choose whether to treat your data as counts or metrics, and the package will automatically generate well-designed default tables and plots for you. Boiled down to the basics, with labeling features and simple interactive reports. All functions are 'tidyverse' compatible.
Maintained by Jakob Jünger. Last updated 1 days ago.
5 stars 7.18 score 125 scripts
bioc
SPONGE:Sparse Partial Correlations On Gene Expression
This package provides methods to efficiently detect competitive endogeneous RNA interactions between two genes. Such interactions are mediated by one or several miRNAs such that both gene and miRNA expression data for a larger number of samples is needed as input. The SPONGE package now also includes spongEffects: ceRNA modules offer patient-specific insights into the miRNA regulatory landscape.
Maintained by Markus List. Last updated 5 months ago.
geneexpressiontranscriptiongeneregulationnetworkinferencetranscriptomicssystemsbiologyregressionrandomforestmachinelearning
6.66 score 38 scripts 1 dependentsbioc
miRspongeR:Identification and analysis of miRNA sponge regulation
This package provides several functions to explore miRNA sponge (also called ceRNA or miRNA decoy) regulation from putative miRNA-target interactions or/and transcriptomics data (including bulk, single-cell and spatial gene expression data). It provides eight popular methods for identifying miRNA sponge interactions, and an integrative method to integrate miRNA sponge interactions from different methods, as well as the functions to validate miRNA sponge interactions, and infer miRNA sponge modules, conduct enrichment analysis of miRNA sponge modules, and conduct survival analysis of miRNA sponge modules. By using a sample control variable strategy, it provides a function to infer sample-specific miRNA sponge interactions. In terms of sample-specific miRNA sponge interactions, it implements three similarity methods to construct sample-sample correlation network.
Maintained by Junpeng Zhang. Last updated 5 months ago.
geneexpressionbiomedicalinformaticsnetworkenrichmentsurvivalmicroarraysoftwaresinglecellspatialrnaseqcernamirnasponge
5 stars 5.88 score 8 scripts
profandyfield
adventr:Interactive R Tutorials to Accompany Field (2016), "An Adventure in Statistics"
Interactive 'R' tutorials written using 'learnr' for Field (2016), "An Adventure in Statistics", <ISBN:9781446210451>. Topics include general workflow in 'R' and 'Rstudio', the 'R' environment and 'tidyverse', summarizing data, model fitting, central tendency, visualising data using 'ggplot2', inferential statistics and robust estimation, hypothesis testing, the general linear model, comparing means, repeated measures designs, factorial designs, multilevel models, growth models, and generalized linear models (logistic regression).
Maintained by Andy Field. Last updated 4 years ago.
36 stars 5.79 score 34 scripts
ethan-young
multitool:Run Multiverse Style Analyses
Run the same analysis over a range of arbitrary data processing decisions. 'multitool' provides an interface for creating alternative analysis pipelines and turning them into a grid of all possible pipelines. Using this grid as a blueprint, you can model your data across all possible pipelines and summarize the results.
Maintained by Ethan Young. Last updated 4 months ago.
1 stars 5.63 score 71 scripts
jasonmoy28
psycModel:Integrated Toolkit for Psychological Analysis and Modeling in R
A beginner-friendly R package for modeling in psychology or related field. It allows fitting models, plotting, checking goodness of fit, and model assumption violations all in one place. It also produces beautiful and easy-to-read output.
Maintained by Jason Moy. Last updated 7 months ago.
4 stars 5.59 score 14 scripts
persimune
explainer:Machine Learning Model Explainer
It enables detailed interpretation of complex classification and regression models through Shapley analysis including data-driven characterization of subgroups of individuals. Furthermore, it facilitates multi-measure model evaluation, model fairness, and decision curve analysis. Additionally, it offers enhanced visualizations with interactive elements.
Maintained by Ramtin Zargari Marandi. Last updated 6 months ago.
aiclassificationclinical-researchexplainabilityexplainable-aiinterpretabilitymachine-learningregressionshapstatistics
15 stars 5.43 score 12 scripts
michaeltopper1
panelsummary:Create Publication-Ready Regression Tables with Panels
Create an automated regression table that is well-suited for models that are estimated with multiple dependent variables. 'panelsummary' extends 'modelsummary' (Arel-Bundock, V. (2022) <doi:10.18637/jss.v103.i01>) by allowing regression tables to be split into multiple sections with a simple function call. Utilize familiar arguments such as fmt, estimate, statistic, vcov, conf_level, stars, coef_map, coef_omit, coef_rename, gof_map, and gof_omit from 'modelsummary' to clean the table, and additionally, add a row for the mean of the dependent variable without external manipulation.
Maintained by Michael Topper. Last updated 2 years ago.
2 stars 5.39 score 81 scripts
jobnmadu
Dyn4cast:Dynamic Modeling and Machine Learning Environment
Estimates, predict and forecast dynamic models as well as Machine Learning metrics which assists in model selection for further analysis. The package also have capabilities to provide tools and metrics that are useful in machine learning and modeling. For example, there is quick summary, percent sign, Mallow's Cp tools and others. The ecosystem of this package is analysis of economic data for national development. The package is so far stable and has high reliability and efficiency as well as time-saving.
Maintained by Job Nmadu. Last updated 16 days ago.
data-scienceequal-lenght-forecastforecastingknotsmachine-learningnigeriapredictionregression-modelsspline-modelsstatisticstime-series
4 stars 5.03 score 38 scriptspsychbruce
ChineseNames:Chinese Name Database 1930-2008
A database of Chinese surnames and Chinese given names (1930-2008). This database contains nationwide frequency statistics of 1,806 Chinese surnames and 2,614 Chinese characters used in given names, covering about 1.2 billion Han Chinese population (96.8% of the Han Chinese household-registered population born from 1930 to 2008 and still alive in 2008). This package also contains a function for computing multiple features of Chinese surnames and Chinese given names for scientific research (e.g., name uniqueness, name gender, name valence, and name warmth/competence).
Maintained by Han-Wu-Shuang Bao. Last updated 2 days ago.
big-datachinesechinese-namechinese-namesdatabasenamenames
152 stars 4.88 score 6 scripts
osimon81
SqueakR:An Experiment Interface for 'DeepSqueak' Bioacoustics Research
Data processing and visualizations for rodent vocalizations exported from 'DeepSqueak'. These functions are compatible with the 'SqueakR' Shiny Dashboard, which can be used to visualize experimental results and analyses.
Maintained by Simon Ogundare. Last updated 3 years ago.
9 stars 4.65 score 5 scripts
jiangyouxiang
TestAnaAPP:A 'shiny' App for Test Analysis and Visualization
This application provides exploratory and confirmatory factor analysis, classical test theory, unidimensional and multidimensional item response theory, and continuous item response model analysis, through the 'shiny' interactive interface. In addition, it offers rich functionalities for visualizing and downloading results. Users can download figures, tables, and analysis reports via the interactive interface.
Maintained by Youxiang Jiang. Last updated 4 months ago.
4 stars 4.30 score 2 scripts
angelospsy
multifear:Multiverse Analyses for Conditioning Data
A suite of functions for performing analyses, based on a multiverse approach, for conditioning data. Specifically, given the appropriate data, the functions are able to perform t-tests, analyses of variance, and mixed models for the provided data and return summary statistics and plots. The function is also able to return for all those tests p-values, confidence intervals, and Bayes factors. The methods are described in Lonsdorf, Gerlicher, Klingelhofer-Jens, & Krypotos (2022) <doi:10.1016/j.brat.2022.104072>.
Maintained by Angelos-Miltiadis Krypotos. Last updated 2 years ago.
3 stars 4.18 score 7 scripts
allen-1242
TangledFeatures:Feature Selection in Highly Correlated Spaces
Feature selection algorithm that extracts features in highly correlated spaces. The extracted features are meant to be fed into simple explainable models such as linear or logistic regressions. The package is useful in the field of explainable modelling as a way to understand variable behavior.
Maintained by Allen Sunny. Last updated 1 years ago.
4.18 score 6 scripts
myaseen208
StroupGLMM:R Codes and Datasets for Generalized Linear Mixed Models: Modern Concepts, Methods and Applications by Walter W. Stroup
R Codes and Datasets for Stroup, W. W. (2012). Generalized Linear Mixed Models Modern Concepts, Methods and Applications, CRC Press.
Maintained by Muhammad Yaseen. Last updated 6 months ago.
13 stars 4.11 score 2 scriptspsychbruce
PsychWordVec:Word Embedding Research Framework for Psychological Science
An integrative toolbox of word embedding research that provides: (1) a collection of 'pre-trained' static word vectors in the '.RData' compressed format <https://psychbruce.github.io/WordVector_RData.pdf>; (2) a group of functions to process, analyze, and visualize word vectors; (3) a range of tests to examine conceptual associations, including the Word Embedding Association Test <doi:10.1126/science.aal4230> and the Relative Norm Distance <doi:10.1073/pnas.1720347115>, with permutation test of significance; and (4) a set of training methods to locally train (static) word vectors from text corpora, including 'Word2Vec' <doi:10.48550/arXiv.1301.3781>, 'GloVe' <doi:10.3115/v1/D14-1162>, and 'FastText' <doi:10.48550/arXiv.1607.04606>.
Maintained by Han-Wu-Shuang Bao. Last updated 2 days ago.
bertcosine-similarityfasttextglovegptlanguage-modelnatural-language-processingnlppretrained-modelspsychologysemantic-analysistext-analysistext-miningtsneword-embeddingsword-vectorsword2vec
22 stars 4.04 score 10 scripts
tjmahr
printy:Helper functions for pretty-printing numbers
This package contains helper functions for formatting numbers.
Maintained by Tristan Mahr. Last updated 1 years ago.
52 stars 4.04 score 14 scripts 1 dependents
politicaargentina
opinAr:Argentina's Public Opinion Toolbox
A toolbox for working with public opinion data from Argentina. It facilitates access to microdata and the calculation of indicators of the Trust in Government Index (ICG), prepared by the Torcuato Di Tella University. Although we will try to document everything possible in English, by its very nature Spanish will be the main language. El paquete fue pensado como una caja de herramientas para el trabajo con datos de opinión pública de Argentina. El mismo facilita el acceso a los microdatos y el cálculos de indicadores del Índice de Confianza en el Gobierno (ICG), elaborado por la Universidad Torcuato Di Tella.
Maintained by Juan Pablo Ruiz Nicolini. Last updated 1 years ago.
argentinadatapolitical-sciencepoliticspublic-opinion
4.00 score
lilleoel
clintools:Tools for Clinical Research
Every research team have their own script for data management, statistics and most importantly hemodynamic indices. The purpose is to standardize scripts utilized in clinical research. The hemodynamic indices can be used in a long-format dataframe, and add both periods of interest (trigger-periods), and delete artifacts with deleter-files. Transfer function analysis (Claassen et al. (2016) <doi:10.1177/0271678X15626425>) and Mx (Czosnyka et al. (1996) <doi:10.1161/01.str.27.10.1829>) can be calculated using this package.
Maintained by Markus Harboe Olsen. Last updated 3 days ago.
2 stars 3.85 score
shixiangwang
regport:Regression Model Processing Port
Provides R6 classes, methods and utilities to construct, analyze, summarize, and visualize regression models.
Maintained by Shixiang Wang. Last updated 1 months ago.
batch-processingregression-models
6 stars 3.48 score 4 scripts
statleila
priorityelasticnet:Comprehensive Analysis of Multi-Omics Data Using an Offset-Based Method
Priority-ElasticNet extends the Priority-LASSO method (Klau et al. (2018) <doi:10.1186/s12859-018-2344-6>) by incorporating the ElasticNet penalty, allowing for both L1 and L2 regularization. This approach fits successive ElasticNet models for several blocks of (omics) data with different priorities, using the predicted values from each block as an offset for the subsequent block. It also offers robust options to handle block-wise missingness in multi-omics data, improving the flexibility and applicability of the model in the presence of incomplete datasets.
Maintained by Laila Qadir Musib. Last updated 2 months ago.
3.36 score
jgeller112
webgazeR:Tools for Processing Webcam Eye Tracking Data
A companion package to gazeR. Functions for reading and pre-processing webcam eye tracking data.
Maintained by Jason Geller. Last updated 6 days ago.
1 stars 3.25 score 21 scripts
jiahui1902
MCM:Estimating and Testing Intergenerational Social Mobility Effect
Estimate and test inter-generational social mobility effect on an outcome with cross-sectional or longitudinal data.
Maintained by Jiahui Xu. Last updated 2 years ago.
3.00 score 6 scripts
phamdn
peramo:Permutation Tests for Randomization Model
Perform permutation-based hypothesis testing for randomized experiments as suggested in Ludbrook & Dudley (1998) <doi:10.2307/2685470> and Ernst (2004) <doi:10.1214/088342304000000396>, introduced in Pham et al. (2022) <doi:10.1016/j.chemosphere.2022.136736>.
Maintained by Duy Nghia Pham. Last updated 7 months ago.
3.00 score
cran
rosetta:Parallel Use of Statistical Packages in Teaching
When teaching statistics, it can often be desirable to uncouple the content from specific software packages. To ease such efforts, the Rosetta Stats website (<https://rosettastats.com>) allows comparing analyses in different packages. This package is the companion to the Rosetta Stats website, aiming to provide functions that produce output that is similar to output from other statistical packages, thereby facilitating 'software-agnostic' teaching of statistics.
Maintained by Gjalt-Jorn Peters. Last updated 2 years ago.
2.70 score
fgashakamba
hypsoLoop:A Tool Used to Conduct Hypsometric Analysis of a Watershed
Functions for generating tables required for drawing and calculating hypsometric curves and hypsometric integrals. These functions accept as input the DEM of the region of interest (your watershed) and a spatial data frame file specifying delineation of sub-catchments within the watershed. They then generate output in the form of PNG images and HTML files contained in a folder named "HYPSO_OUTPUT" created in the current directory. S. K. Sharma, S. Gajbhiye, et al. (2018) <doi:10.1007/978-981-10-5801-1_19>. Omvir Singh, A. Sarangi, and Milap C. Sharma (2006) <doi:10.1007/s11269-008-9242-z>. James A. Vanderwaal and Herbert Ssegane (2013) <doi:10.1111/jawr.12089>.
Maintained by Faustin GASHAKAMBA. Last updated 3 years ago.
1 stars 2.70 score 2 scripts
wanglabcsu
regverse:Streamlined Data Modeling and Visualization in Biomedical Regression Analysis
Provides a comprehensive suite of tools to enhance regression analysis and interpretation in the field of computational biology and clinical medicine.
Maintained by Shixiang Wang. Last updated 1 months ago.
2.30 score
kartikeyabolar
STAT:Interactive Document for Working with Basic Statistical Analysis
An interactive document on the topic of basic statistical analysis using 'rmarkdown' and 'shiny' packages. Runtime examples are provided in the package function as well as at <https://jarvisatharva.shinyapps.io/StatisticsPrimer/>.
Maintained by Kartikeya Bolar. Last updated 6 years ago.
2.18 score 15 scripts
cogdisreslab
KINNET:Kinase INteraction NETwork Generation
This package provides the functionality to process PamGene's PamChip Data Output and generate kinase interaction networks from that. This project uses a bayesian algorithm to generate bayesian networks for defining dependence relationships between peptide sequences in the PamChip data. It then uses a novel kinase assignment method to assign upstream kinases to each peptide which is then output as a graph.
Maintained by Ali Sajid Imami. Last updated 3 years ago.
2 stars 2.00 score 3 scripts
heeringa0
visvow:Visible Vowels: Visualization of Vowel Variation
Visualizes vowel variation in f0, F1, F2, F3 and duration.
Maintained by Wilbert Heeringa. Last updated 1 years ago.
2.00 score 4 scriptskartikeyabolar
STAT2:Interactive Document for Working with Basic Statistical Analysis
An interactive document on the topic of basic statistical analysis using 'rmarkdown' and 'shiny' packages. Runtime examples are provided in the package function as well as at <https://jarvisatharva.shinyapps.io/StatisticsPrimer/>.
Maintained by Kartikeya Bolar. Last updated 5 years ago.
1.85 score
robitalec
CSEE.reproducible.workflows.workshop:Workshop for CSEE 2023 On Reproducible Workflows In R
Developing a reproducible workflow in R using functions, targets and renv.
Maintained by Alec L. Robitaille. Last updated 2 years ago.
conflictedfunctionsprojectsrenvreproducibilitytargetstargets-pipeline
1 stars 1.70 scorecran
popstudy:Applied Techniques to Demographic and Time Series Analysis
The use of overparameterization is proposed with combinatorial analysis to test a broader spectrum of possible ARIMA models. In the selection of ARIMA models, the most traditional methods such as correlograms or others, do not usually cover many alternatives to define the number of coefficients to be estimated in the model, which represents an estimation method that is not the best. The popstudy package contains several tools for statistical analysis in demography and time series based in Shryock research (Shryock et. al. (1980) <https://books.google.co.cr/books?id=8Oo6AQAAMAAJ>).
Maintained by Cesar Gamboa-Sanabria. Last updated 1 years ago.
1.70 scoretjmahr
iccbot:A 'Shiny' App for ICC Statistics
An interactive dashboard for computing intraclass correlation coefficients to estimate interrater reliability.
Maintained by Tristan Mahr. Last updated 4 years ago.
1 stars 1.70 score 3 scripts
kartikeyabolar
KNNShiny:Interactive Document for Working with KNN Analysis
An interactive document on the topic of K-nearest neighbour (KNN) using 'rmarkdown' and 'shiny' packages. Runtime examples are provided in the package function as well as at <https://kartikeyabolar.shinyapps.io/KNNShiny/>.
Maintained by Kartikeya Bolar. Last updated 6 years ago.
1.00 score 1 scriptskartikeyabolar
CLUSTShiny:Interactive Document for Working with Cluster Analysis
An interactive document on the topic of cluster analysis using 'rmarkdown' and 'shiny' packages. Runtime examples are provided in the package function as well as at <https://analyticmodels.shinyapps.io/ClusterAnalysis/>.
Maintained by Kartikeya Bolar. Last updated 6 years ago.
1.00 scorekartikeyabolar
PREPShiny:Interactive Document for Preprocessing the Dataset
An interactive document for preprocessing the dataset using 'rmarkdown' and 'shiny' packages. Runtime examples are provided in the package function as well as at <https://analyticmodels.shinyapps.io/PREPShiny/>.
Maintained by Kartikeya Bolar. Last updated 6 years ago.
1.00 score