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aq2020

blackjax

BlackJAX is a sampling library designed for ease of use, speed and modularity.

flexel

Bayesian inference for empirical likelihood models

gausscop

Utilities for the Gaussian Copula Distribution

hlm

Inference for a Heteroscedastic Linear Model

kalmantv

High-Performance Kalman Filtering and Smoothing in Python

lmn

Inference for Linear Models with Nuisance Parameters.

localcop

Local Likelihood Inference for Conditional Copulas

losmix

Inference for Gaussian Location-Scale Mixed-Effects Models

madpop

MHC Allele-Based Differencing between Populations

mniw

Simulation and Inference with the Matrix-Normal-Inverse-Wishart Distribution.

msde

header-only version of the package

nicherover

Niche Region and Niche Overlap Metrics for Multidimensional Ecological Niches

optimcheck

Graphical and numerical checks for mode-finding routines

pfjax

Particle filtering in JAX

pk1

Mixed Effect SDE Inference for a One-Compartment Pharmacodynamic Model

projplot

rcpp

Seamless R and C++ Integration

rcppsmc

Rcpp bindings for Sequential Monte Carlo

rdoxygen

Create doxygen documentation for R package C++ code

realpsd

Robust and Efficient Calibration of Parametric Power Spectral Densities

realsho

Robust and efficient calibration of SHO parameters

rodeo

Probabilistic solvers for ordinary differential equations

rodeo-legacy

Probabilistic Solution of Differential Equations

rstantools

Tools for Developing R Packages Interfacing with Stan

sccru

stanmygrad

Examples of custom gradients in Stan

stanpackage

example usage of a custom c++ gradient in Stan

subdiff

R package for subdiffusive particles tracking

supergauss

Superfast inference for stationary Gaussian time series