univariateML
univariateML: An R package for maximum likelihood estimation of univariate densities - Published in JOSS (2019)
treeple
Scikit-learn compatible decision trees beyond those offered in scikit-learn
brglm2
Estimation and inference from generalized linear models using explicit and implicit methods for bias reduction
DiffEqParamEstim
Easy scientific machine learning (SciML) parameter estimation with pre-built loss functions
ResourceSelection
Resource Selection (Probability) Functions for Use-Availability Data in R
samplics
samplics: a Python Package for selecting, weighting and analyzing data from complex sampling designs. - Published in JOSS (2021)
@stdlib/stats-base-dsempn
Calculate the standard error of the mean for a double-precision floating-point strided array using a two-pass algorithm.
@stdlib/stats-base-dsemtk
Calculate the standard error of the mean for a double-precision floating-point strided array using a one-pass textbook algorithm.
@stdlib/stats-base-dsemyc
Calculate the standard error of the mean for a double-precision floating-point strided array using a one-pass algorithm proposed by Youngs and Cramer.
@stdlib/stats-base-dsemch
Calculate the standard error of the mean for a double-precision floating-point strided array using a one-pass trial mean algorithm.
@stdlib/stats-base-dsemwd
Calculate the standard error of the mean for a double-precision floating-point strided array using Welford's algorithm.
@stdlib/stats-base-dsem
Calculate the standard error of the mean for a double-precision floating-point strided array.
https://github.com/baggepinnen/lowlevelparticlefilters.jl
State estimation, smoothing and parameter estimation using Kalman and particle filters.
btergm
Temporal Exponential Random Graph Models by Bootstrapped Pseudolikelihood
https://github.com/baggepinnen/controlsystemidentification.jl
System Identification toolbox, compatible with ControlSystems.jl
cocons
R package for nonstationary spatial modeling with covariate-based covariance functions
stats-strided-dsem
Calculate the standard error of the mean for a double-precision floating-point strided array.
stats-strided-dsempn
Calculate the standard error of the mean for a double-precision floating-point strided array using a two-pass algorithm.
paramgui
paramGUI is a Shiny based R-package for teaching parameter estimation examples inspired by time-resolved spectroscopy
https://github.com/acclab/dabest-python
Data Analysis with Bootstrapped ESTimation
stats-strided-dsemtk
Calculate the standard error of the mean for a double-precision floating-point strided array using a one-pass textbook algorithm.
https://github.com/amazon-science/ssepy
Python package for stratifying, sampling, and estimating model performance with fewer annotations.
stats-strided-dsemch
Calculate the standard error of the mean for a double-precision floating-point strided array using a one-pass trial mean algorithm.
stats-strided-dsemyc
Calculate the standard error of the mean for a double-precision floating-point strided array using a one-pass algorithm proposed by Youngs and Cramer.
https://github.com/awslabs/cis-matching-tasks
A package for constructing confidence intervals for error rates in matching tasks such as 1:1 face and speaker verification.
stats-strided-dsemwd
Calculate the standard error of the mean for a double-precision floating-point strided array using Welford's algorithm.
https://github.com/acclab/estimationstats
Repo for the development of a webapp of the contrast package for easy estimation