This generates covariance matrices and cholesky decompositions for a set of stochastic integrals.

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Parse seismic station information in the FDSN StationXML format, in Julia

Some statistical, geochemical, and geochronological functions

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WIP: Wrapper package for the optimize method in Stan's cmdstan executable.

Cmdstan related I/O operations

Standard Young tableaux.

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A package for discretizing trajectory data into a transition probability matrix using Ulam's method.

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A Julia package for plotting sequential sampling models

Relational composition

Installer for SpmImage Tycoon

A Julia package for optimal estimation algorithms.

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Deep Unfolded Convolutional Dictionary Learning for motif discovery.

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Spectral [phenotype/phylogenetic] Inference package

Exact computations on fully-connected Ising models with uniform couplings

Provides Julia types for physical units

Sum of Exponentials method accelerated Ewald2D method

A package for simple algebra, calculus and evaluation of one dimensional functions. Can be used for approximation (splines, interpolation) and algebra.

A Julia package for simulating Social Sampling Theory

A simple multi-SDR recorder using SoapySDR.jl

Surface Magnetic Resonance Probabilistic Inversion

Simulation of single molecule data sets

Metrics for SMLM

Frame-connection on localization microscopy data

Data types and utilities for SMLM coordinate data.

SMLMBoxer.jl is a Julia package that provides a fast and efficient method for detecting particles or blobs in a multidimensional image stack and cutting out sub-regions around local maxima.

Examples calculations for the book "Value-Oriented Risk Management of Insurance Companies"

A julia implementation of SMG2S (Sparse Matrix Generator with Given Spectrum)

Julia wrappers for mathematical routines in the SLICOT library

Compute solar radiation and generate sky domes for VPL

Robustly and accurately fit monochromatic sine waves.

Import data from Simulink SDI Sessions to Julia.

SimSpread is a novel approach for predicting interactions between two distinct set of nodes, query and target nodes, using a similarity measure vector between query nodes as a meta-description in combination with the network-based inference for link prediction.

Statistics, Julia package: check data for a Simpson's statistical paradox.