Search Results for "autocorrelation"
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Showing 15 open source projects for "autocorrelation"
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brms
brms R package for Bayesian generalized multivariate models using Stan
brms is an R package by Paul Bürkner which provides a high-level interface for fitting Bayesian multilevel (i.e. mixed effects) models, generalized linear / non-linear / multivariate models using Stan as the backend. It allows R users to specify complex Bayesian models using formula syntax similar to lme4 but with far more flexibility (distributions, link functions, hierarchical structure, nonlinear terms, etc.). It supports model diagnostics, posterior predictive checking, model comparison,... -
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NeuralProphet
A simple forecasting package
NeuralProphet bridges the gap between traditional time-series models and deep learning methods. It's based on PyTorch and can be installed using pip. A Neural Network based Time-Series model, inspired by Facebook Prophet and AR-Net, built on PyTorch. You can find the datasets used in the tutorials, including data preprocessing examples, in our neuralprophet-data repository. The documentation page may not we entirely up to date. Docstrings should be reliable, please refer to those when in... -
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pysoundanalyser
a python program to generate, visualize, and manipulate short sounds
pysoundanalyser is a Python application that can be used to generate, visualize, and manipulate short sounds through a graphical user interface. Visualization functions include visualization of the power spectrum, the spectrogram, the autocorrelation, and the autocorrelogram of a sound. Manipulation functions include filtering, concatenating, cutting, and scaling the level of a sound. Several types of sounds can also be generated including, pure tones, harmonic complex tones, noise of different colours, frequency modulated and amplitude modulated tones. -
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GeigerLog
Python program for Geiger counters and Environmental Sensors
...GeigerLog reads data from devices, saves them to databases, prints to screen and plots as auto-updated, customizable graphs. Quality control using Statistics, Scatter, Poisson, FFT & Autocorrelation, and more. Gamma Spectra - can be displayed, calibrated, and evaluated in GeigerLog! The Raspberry Pi 4, 5 qualify as GeigerLog hosts. -
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GenoCline
GenoCline is a free Java software for genetic cline analysis
...Parameterization of a cline: orientation, Pearson’s product-moment correlation coefficient, linear and sigmoid regression and coefficient of determination. Graphical representation of the cline. Confidence limits. Spatial autocorrelation. Moran's index. Isolation by distance. Exponential regression. Correlation Fst/Distance. Centroid method. Cline's expected vs. predicted heterozygosity. MDS. Sammon projection. Geographical distances. Fst distances. Export data to Arlequin, Phylip, Past and Poptree. User-friendly input data. -
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gaia-physics
Gravitational Accelerations Inverter and Analyzer
...Output time series data are analyzed by an R script which calculates statistical significance, but interpret those results with caution. For example: do the residuals look random? Does the default autocorrelation model minimize the AIC or BIC? Etc. -
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TOFSIMS
R/Bioconductor toolkit for mass spectrometry data
...For data exploration and dimensionality reduction, it includes multivariate methods common in the ToF-SIMS community: PCA (Principal Component Analysis), MCR (Multivariate Curve Resolution), MAF (Maximum Autocorrelation Factors), and MNF (Minimum Noise Fraction). It also interoperates with Bioconductor’s imaging stack (e.g. EBImage) so users can apply segmentation and image analysis operations on mass images. -
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OptimAutoCor
Optimize autocorrelation function for natural number series
These programs are used to find best permutations of natural nubers series, which have minimal maximum of autocorrelation function. -
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The"Amip" GUI is intended to provide code examples of the methods proposed in: "Unsupervised image segmentation for microarray spots with irregular contours and inner holes" authors: Bogdan Belean, Monica Borda, Jörg Ackermann, Ina Koch and Ovidiu Balacescu Journal: BMC Bioinformatics, 2015, 16:412 https://bmcbioinformatics.biomedcentral.com/articles/10.1186/s12859-015-0842-3 PDE were used for grid alignment, whereas autocorrelation driven PDE and k-means clustering were used for spot segmentation. The proposed segmentation procedure yields the spots median intensity values for the microarray images recorded from Cy3 and Cy5 fluorescent dyes. Based on the fold change factor, the differentially expressed genes were determined. Both images with single spot groups and multiple spot groups (372 and 324 spots/group) can be processed. ...
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10
Arpeggio
Harmonic analysis of ChIP-seq experiments
...Importantly, these interaction patterns broadly reflect the biological properties of the binding events. To generate these profiles, termed Arpeggio profiles, we applied harmonic deconvolution techniques to the autocorrelation profiles of the ChIP-seq signals. A detailed tutorial is available in the Wiki page (http://sourceforge.net/p/arpeggio/wiki/Home/) -
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GPU-based autocorrelator to run on VLBI disk based Data Recorders. Written in CUDA
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pylsb-toolkit
a small and simple toolkit for LSB based steganalysis
This is a small and simple toolkit that might be useful during steganalysis, it is currently composed by several general purpose command line tools. NOTE: this project has been moved to https://github.com/luca-m/lsb-toolkit -
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An application to tune your musical instrument. The Tuner using Autocorrelation function or more specifically using SNAC algorithm that proposed by Philip McLeod (http://miracle.otago.ac.nz/postgrads/tartini/papers.html).
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Library that will supply a clean interface for Linear, Quadratic, and Logarithmic regressions including verification for autocorrelation and heteroscedasticity using Durbin Watson and White tests.
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