ARCH models in Python
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Updated
Dec 10, 2024 - Python
ARCH models in Python
A library of statistical distribution sampling and transducing functions
Display and analyze ROC curves in R and S+
MSGARCH R Package
Sensor for Home Assistant that gets reset at midnight
Select, weight and analyze complex sample data
Quantitative Finance & Statistics Projects. Topics including multiple linear regression, variance and instability estimates, display methodology.
Leibniz equivalence and Liskov substitutability library for Scala.
Computationally efficient confidence intervals for cross-validated AUC estimates in R
SIMD-enabled descriptive statistics (mean, variance, covariance, correlation)
Go implementation of variance's method for one-pass variance computation with D. H. D. West improved methods which features merging of several multiple sets of statistics and adding weighted values.
statistics module used for the TCI
Analysis of Variance (ANOVA)
Online statistics implementations, including average, variance and standard deviation; exponentially weighted versions as well.
Running mean, variance, skew, and kurtosis
Variance Estimation for Sample Surveys by the Ultimate Cluster Method
Data analysis and filtering using time series for embedded devices (IoT). All in a single C++ library, Data Tome. Focus on the developer's experience and performance. It is the successor to the MovingAveragePlus library.
Compute mean and variance of the univariate truncated normal distribution (works far from the peak).
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