18 skills found
easystats / Correlation:link: Methods for Correlation Analysis
zhenxingjian / Partial Distance CorrelationThis is the official GitHub for paper: On the Versatile Uses of Partial Distance Correlation in Deep Learning, in ECCV 2022
sjczheng / EpiDISHThis package contains a reference-based function to infer the proportions of a priori known cell subtypes present in a sample representing a mixture of such cell-types. Inference proceeds via one of 3 methods (Robust Partial Correlations-RPC, Cibersort (CBS), Constrained Projection (CP)), as determined by user.
jolespin / CompositionalPython package for compositional data analysis including CLR/ILR, proportionality, partial correlation with basis shrinkage, and visualizations.
GraceYoon / SPRINGSemi-parametric Rank-Based Correlation and Partial Correlation Estimation for Quantitative Microbiome Data
anaston / Cca Pls ToolkitCanonical Correlation Analysis and Partial Least Squares Toolkit for neuroscientists
felix-laumann / SDG NetworksFinding nonlinear relationships between the Sustainable Development Goals and climate change with partial distance correlations
daisybio / SPONGESparse Partial correlation ON Gene Expression - an R package for fast and robust ceRNA network inference
MicheleNuijten / BayesMedDefault Bayesian hypothesis tests for correlation, partial correlation, and mediation
hyunsooseol / SeolmatrixThis module is a tool for calculating correlations such as Partial, Tetrachoric, Intraclass correlation coefficients, Bootstrap agreement, Rater reliability, Generalizability Theory, Analytic Hierarchy Process, and allows users to produce Gaussian Graphical Model and Partial plot.
csiro-robotics / ISICE[CVPR2023] The official repository for paper "Learning Partial Correlation based Deep Visual Representation for Image Classification" To appear in 2023 The IEEE / CVF Computer Vision and Pattern Recognition Conference (CVPR)
scmassey / Model Sensitivity AnalysisLatin hypercube sampling and partial rank correlation coefficients
GEMINI-multimorbidity / PartialLDSCR package to estimate partial genetic correlations
AEBilgrau / CorrelateRGeneral purpose correlation and covariance estimation
gwpcor / GwpcormapperGeographically weighted partial correlation mapper
hyhRise / P SSNConstruct the single-sample network based on partial correlation(P-SSN)
zh2395 / KPCKernel partial correlation coefficient
Sachinvh12 / Weather Prediction• Weather Forecasting is the process of making predictions of the future, based on past and present data of the weather. • We used ARIMA model(Auto Regressive Integrated Moving Average) to analyze and predict the time-series data and we shall also perform rigorous exploratory data analysis and visualizations on the dataset. • Feature Engineering – selecting required attributes. • Data cleaning – renaming attributes and filling missing data. • Check rolling mean and standard deviation (graph must not vary too much for stationarity). • Perform Augmented Dickey–Fuller test (to check for stationarity) • plotting PACF(partial auto correlation function) and ACF(auto correlation function) to find p and q values of ARIMA model. • Fitting and forecasting the model for temperature data. • This could be also be used other types of time series data such as stock prices, market price variations, etc.
