statistical-methods
There are 153 repositories under statistical-methods topic.
raphaelvallat/pingouin
Statistical package in Python based on Pandas
jkriege2/JKQtPlotter
an extensive Qt5 & Qt6 Plotter framework (including a feature-richt plotter widget, a speed-optimized, but limited variant and a LaTeX equation renderer!), written fully in C/C++ and without external dependencies
maximtrp/scikit-posthocs
Multiple Pairwise Comparisons (Post Hoc) Tests in Python
fasiha/ebisu
Public-domain Python library for flashcard quiz scheduling using Bayesian statistics. (JavaScript, Java, Dart, and other ports available!)
veg/hyphy
HyPhy: Hypothesis testing using Phylogenies
spatstat/spatstat
Umbrella package of the 'spatstat' family................
privefl/bigsnpr
R package for the analysis of massive SNP arrays.
slinderman/stats320
STATS320: Statistical Methods for Neural Data Analysis
privefl/bigstatsr
R package for statistical tools with big matrices stored on disk.
yanwu2014/swne
Similarity Weighted Nonnegative Embedding (SWNE), a method for visualizing high dimensional datasets
mikenguyen13/data_analysis
Streamline a data analysis process
paternogbc/livro_aer
Este livro oferece uma introdução compreensiva aos métodos estatísticos mais utilizados em Ecologia.
tbrown122387/pf
PF: a header only template library for fast particle filtering!
akshitvjain/product-sales-forecasting
Forecasted product sales using time series models such as Holt-Winters, SARIMA and causal methods, e.g. Regression. Evaluated performance of models using forecasting metrics such as, MAE, RMSE, MAPE and concluded that Linear Regression model produced the best MAPE in comparison to other models
briatte/srqm
An introductory statistics course for social scientists, using Stata
fasiha/ebisu.js
JavaScript port of Ebisu, the public-domain library for Bayesian quiz scheduling.
ldsec/drynx
Decentralized, Secure, Verifiable System for Statistical Queries and Machine Learning on Distributed Datasets
kariminf/allsummarizer
Multilingual automatic text summarizer using statistical approach and extraction
markroxor/fromscratchtoml
The machine learning library you really understand.
erictleung/data-science-resources
:earth_americas: Readings and resource materials for data science
JamesMarquezDev/Jupyter-Notebooks-Statistic-Walk-Throughs-Using-R
Jupyter notebooks with examples of statistical methods and analyses using R.
graemeleehickey/joineR
R package for fitting joint models to time-to-event and longitudinal data
bcgov/wetlandmapR
Scripts, tools and example data for mapping wetland ecosystems using data driven R statistical methods like Random Forests and open source GIS
deepak7376/wsn-sim
Python Based Wireless Sensor Network Simulator.
Global-Policy-Lab/gpl-covid
Repo for code and small datasets related to Global Policy Lab's COVID-19 policy analysis. Read and share the acompanying article here:
john-hen/KDE-diffusion
Kernel density estimation via diffusion in 1d and 2d.
KChen-lab/SCMarker
Marker gene selection from scRNA-seq data
andreamazzella/r4asme
R material for LSHTM's Advanced Statistical Methods in Epidemiology (ASME) practical sessions
GZHoffie/VE401-recitation-class
Interactive Mathematica notebooks illustrating the course content of VE401, Probabilistic Methods in Engineering at UM-SJTU Joint Institute.
AdiVarma27/pyAB
Python package for Bayesian & Frequentist A/B Testing
ahmedbahaaeldin/Introduction-to-NLP-Class
Introduction to NLP class at Zewail City. This repo contains all the resources and materials for students
jishanshaikh4/statistical-methods-primer
A long term project for creation of a primer for statistical methods; prerequisite to Machine Learning.
zgbkdlm/tme
Taylor moment expansion in Python (JaX and SymPy) and Matlab
ckdckd145/statmanager-kr
Open-source statistical package in Python based on Pandas
devildances/DataScience_in_small_notes
Some little notes from the author for everyone who wants to know or learn about the process that a data scientist must do from the beginning of data collection to making predictions with a model that has been built. These notes are based on the knowledge that the authors have learned and implemented. Enjoy it!
Eurus-Holmes/Statistics-Base
Code for the book: "Statistical Learning Methods, by Hang Li".