Search Results for "using"
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Showing 68 open source projects for "using"
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1
PyMC
Bayesian Modeling and Probabilistic Programming in Python
PyMC is a Python library for probabilistic programming focused on Bayesian statistical modeling and machine learning. Built on top of computational tools like Aesara and NumPy, PyMC allows users to define models using intuitive syntax and perform inference using MCMC, variational inference, and other advanced algorithms. It’s widely used in scientific research, data science, and decision modeling. -
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statsmodels
Statsmodels, statistical modeling and econometrics in Python
...Vector autoregressive models, VAR and structural VAR. Vector error correction model, VECM. Robust linear models with support for several M-estimators. statsmodels supports specifying models using R-style formulas and pandas DataFrames. -
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seaborn
Statistical data visualization in Python
Seaborn is a Python data visualization library based on matplotlib. It provides a high-level interface for drawing attractive and informative statistical graphics. Seaborn helps you explore and understand your data. Its plotting functions operate on dataframes and arrays containing whole datasets and internally perform the necessary semantic mapping and statistical aggregation to produce informative plots. Its dataset-oriented, declarative API lets you focus on what the different elements of... -
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broom
Convert statistical analysis objects from R into tidy format
broom is part of the tidymodels ecosystem that converts statistical model outputs (e.g. from lm, glm, t.test, lme4, etc.) into tidy tibbles — standardized data frames — using functions tidy(), glance(), and augment(). These are easier to manipulate, visualize, and report programmatically. -
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FieldTrip
The MATLAB toolbox for MEG, EEG and iEEG analysis
...FieldTrip is developed by members and collaborators of the Donders Institute for Brain, Cognition, and Behaviour at Radboud University, Nijmegen, the Netherlands. The toolbox offers advanced analysis methods of MEG, EEG, and invasive electrophysiological data, such as time-frequency analysis, source reconstruction using dipoles, distributed sources and beamformers and non-parametric statistical testing. It supports the data formats of all major MEG systems (CTF, Neuromag/Elekta/Megin, BTi/4D, Yokogawa/Ricoh, FieldLine) and of most popular EEG systems, and new formats can be added easily. FieldTrip contains high-level functions that you can use to construct your own analysis protocols in MATLAB. ... -
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CausalImpact
An R package for causal inference in time series
The CausalImpact repository houses an R package that implements causal inference in time series using Bayesian structural time series models. Its goal is to estimate the effect of an intervention (e.g. a marketing campaign, policy change) on a time series outcome by predicting what would have happened in a counterfactual “no intervention” world. The package requires as input a response time series plus one or more control (covariate) time series that are assumed unaffected by the intervention, and it divides the time horizon into “pre-intervention” and “post-intervention” periods. ... -
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Data Envelopment Analysis using Stata
Develop a user written Data Envelopment Analysis package in Stata.
.... * Book "A Handbook of Data Envelopment Analysis using Stata" published in Amazon : https://www.amazon.com/-/ko/dp/B0FH6N3168/ref=tmm_hrd_swatch_0 -
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STK
a Small (Matlab/Octave) Toolbox for Kriging
...Its primary focus in on the interpolation / regression technique known as kriging, which is very closely related to Splines and Radial Basis Functions, and can be interpreted as a non-parametric Bayesian method using a Gaussian Process (GP) prior. The STK also provides tools for the sequential and non-sequential design of experiments. Even though it is, currently, mostly geared towards the Design and Analysis of Computer Experiments (DACE), the STK can be useful for other applications areas (such as Geostatistics, Machine Learning, Non-parametric Regression, etc.). -
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ntx
Neutrality tests using the SNP site frequency spectrum
Tests on "neutrality" are designed to detect systematic deviations from chance patterns in genetic data. This tool computes for a given SNP site frequency spectrum some standard test statistics like Tajima's D, Fay & Wu's H, etc. Additionally, the user may adapt the tests to specific demographies by specifying non-standard first and secondary moments. These can be obtained e.g. from simulations. -
Grafana: The open and composable observability platformGrafana is the open source analytics & monitoring solution for every database.
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PeCalc
PeCalc is a polyvalent engineering calculator for S&T students
...PeCalc includes comprehensive user help in English and Spanish. Currently PeCalc runs on Android and MS Windows. A version for GNU Linux is planned for the near future. It has been developed in Object Pascal using Embarcadero Delphi. A Lazarus/Free Pascal version will be available soon too. -
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rethinking
Statistical Rethinking course and book package
This R package accompanies Richard McElreath’s Statistical Rethinking (2nd edition), offering utilities to fit and compare Bayesian models using both MAP estimation (quap) and Hamiltonian Monte Carlo via RStan (ulam). It supports specifying models via explicit distributional assumptions, providing flexibility for advanced statistical workflows. -
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AlphaPlot
Interactive scientific graphing and data analysis software.
Alpha Plot can generate different types of 2D and 3D plots (such as line, scatter, bar, pie, and surface plots) from data that is either imported from ASCII files, entered by hand, or calculated using formulas. The data is held in spreadsheets which are referred to as tables with column-based data (typically X and Y values for 2D plots) or matrices (for 3D plots). The spreadsheets as well as graphs and note windows are gathered in a project and can be organized using folders. The built-in analysis operations include column/row statistics, (de)convolution, FFT and FFT-based filters. ... -
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Chuck Coleman's SAS Codes
SAS Codes
...Documentation and PowerPoint slides. Directories under "Files" with descriptions: NESUG 2014: "A Fast, High-Precision Implementation of the Univariate One-Parameter Box-Cox Transformation Using the Golden Section Search in SAS/IML®" SESUG 2017: "Decomposing the R-squared of a Regression Using the Shapley value in SAS®" SESUG 2019: "Conditionally Executing Data Steps and Statements Based on the Presence of Variables in a SAS® Dataset" GASP 2020: "Online Winsorization of the Survey of Construction’s Price Estimates" My SESUG 2015 materials can also be found in my project "constrainingarrays" at https://sourceforge.net/projects/constrainingarrays/. -
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The new version of MinimPy (MinimPy2) is available for download at: https://osdn.net/dl/minimpy2/MinimPy2.zip Please send your feedback about this new version to mahmood.saghaei@gmail.com (include MinimPy2 in the subject) ============================================================ MinimPy is a desktop application program for sequential allocation of subjects to treatment groups in clinical trials by using the method of minimization. Comprehensive reference help is available at http://minimpy.sourceforge.net MinimPy has been fully described in the following article: Saghaei, M. and Saghaei, S. (2011) Implementation of an open-source customizable minimization program for allocation of patients to parallel groups in clinical trials. ...
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gsasnp2
PubMed ID: 29562348 / DOI: 10.1093/nar/gky175
...It also provides both local and global protein interaction networks in the associated pathways. * Article: SYoon, HCTNguyen, YJYoo, JKim, BBaik, SKim, JKim, SKim, DNam, "Efficient pathway enrichment and network analysis of GWAS summary data using GSA-SNP2", Nucleic Acids Research, Vol. 46(10), e60(2018). * PubMed ID: 29562348 * DOI: 10.1093/nar/gky175 -> PLEASE MOVE OR MAKE A COPY OF 'DATA' FOLDER INTO YOUR INTENSIVE TEST FOLDER (I.E. LINUX, MAC OR WINDOWS SPECIFIED FOLDER) TO ALLOW THE PROGRAM TO FIND THE PREDESIGNED DATA. * UPDATE NOTE: -> Sep-1-2020: add an update for Ubuntu-20.04. ... -
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FRUITS
Food Reconstruction Using Isotopic Transferred Signals
...This version is the closest to the soon to be released R-based ReSources package as part of the IsoMemo initiative. FRUITS is a Bayesian mixing model for diet reconstruction using isotopic data. -
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rpackage conjurer
Synthetic data generation using R
Builds synthetic data applicable across multiple domains. This package also provides flexibility to control data distribution to make it relevant to many industry examples. -
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Multidimensional Array (MDA)
Multidimensional array implementation
Multidimensional Array (MDA) is a class for creating and using multi-dimensional arrays. Storage for the array is based on a templated C++ STL vector class. The beauty of the STL vector class is that it automagically resizes itself when constructing or copying. Caveat Emptor. The multidimensional arrays are indexed using unsigned integers. The types that may stored may be any that provide a copy and assignment operator. -
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Vytics Community
Query and plot data in seconds (Excel, CSV, SQL and NoSQL DBMS)
Vytics lets you query and plot csv data, Excel files, databases (SQL and NoSQL). You can also organize your queries, data and graphs into reports and projects. -
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An R package for metrology. metRology provides classes and calculation and plotting functions for metrology applications, including measurement uncertainty estimation and (eventually) inter-laboratory metrology comparison studies.
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QMinim
A web-based minimisation service
...It is an alternative to randomization, with the advantage of balancing arms of trial with respect to preselected prognostic factors. All aspects of minimization procedure including treatments, factors, minimization protocole, and including a preload can be customized using QMinim. -
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TU Calc
Simple tool for numerical calculation
TU Calc is a modular tool that aims to gather numerical methods for solution of mathematical problems. Interacting with the user through a GUI that is analogous to the windows desktop. -
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SWire
A Stata plugin for connecting Stata with other software
SWire is a software interface enabling us to query Stata for the executing of basic operations like reading or writing data. The core of SWire is a Java plugin which functions as a server and it can be queried by using the HTTP protocol. SWire is in essence a wrapper around the Stata-Java API and all the functions relating to this API can, therefore, be externally called by clients. SWire can be interrogated on a local network and it accepts AJAX queries, thus enabling the development of web applications which provide the user with graphical user interfaces. ... -
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montyhall2
Monty Hall Problem (command line)
Monty Hall Problem (command line), written in pure C++, using Visual C++6. It uses another project of mine for random number generation (glhlib - Graphics Library Helper). I also added a JAVA version. The Java version is written with NetBeans. I assume you can get yourself any IDE and compile the .JAVA file. It runs on Windows, Linux, Mac OSX, whatever. -
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A Matlab software routine to perform Principal Component Analysis using Covariance, Correlation or Comedian as the criterion. Though, initially developed for experiments related to fretting wear but can be effectively used to interpret experimental data from any field. The attached files contain source code as well as a sample MATLAB (.mat) data file of 13 variables. It could be replaced to the data file of your choice.
