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equipoise / packages

Package Name Access Summary Updated
eq-metapackage3 public This is a metapackage of for the eq project 2025-03-25
jt-metapackage public No Summary 2025-03-25
apscheduler public No Summary 2025-03-25
tzlocal public No Summary 2025-03-25
cffi public Foreign Function Interface for Python calling C code. 2025-03-25
erequests public Requests + Eventlet 2025-03-25
eventlet public Highly concurrent networking library 2025-03-25
unidecode public ASCII transliterations of Unicode text 2025-03-25
flask-limiter public Rate limiting for flask applications 2025-03-25
limits public Rate limiting utilities 2025-03-25
flask-sslify public Force SSL on your Flask app. 2025-03-25
fuzzyfinder public Fuzzy Finder implemented in Python. 2025-03-25
prompt_toolkit public Library for building powerful interactive command lines in Python 2025-03-25
wcwidth public Measures number of Terminal column cells of wide-character codes 2025-03-25
ghost.py public Webkit based webclient. 2025-03-25
pywinrm public Python library for Windows Remote Management 2025-03-25
isodate public An ISO 8601 date/time/duration parser and formatter 2025-03-25
ansible public Radically simple IT automation 2025-03-25
mysql-python None No Summary 2025-03-25
r-mnp None MNP is a publicly available R package that fits the Bayesian multinomial probit model via Markov chain Monte Carlo. The multinomial probit model is often used to analyze the discrete choices made by individuals recorded in survey data. Examples where the multinomial probit model may be useful include the analysis of product choice by consumers in market research and the analysis of candidate or party choice by voters in electoral studies. The MNP software can also fit the model with different choice sets for each individual, and complete or partial individual choice orderings of the available alternatives from the choice set. The estimation is based on the efficient marginal data augmentation algorithm that is developed by Imai and van Dyk (2005). ``A Bayesian Analysis of the Multinomial Probit Model Using the Data Augmentation,'' Journal of Econometrics, Vol. 124, No. 2 (February), pp. 311-334. Detailed examples are given in Imai and van Dyk (2005). ``MNP: R Package for Fitting the Multinomial Probit Model.'' Journal of Statistical Software, Vol. 14, No. 3 (May), pp. 1-32. 2025-03-25
flask-httpauth None Basic and Digest HTTP authentication for Flask routes 2025-03-25
argh None An unobtrusive argparse wrapper with natural syntax 2025-03-25
pathtools None File system general utilities 2025-03-25
watchdog None Filesystem events monitoring 2025-03-25
mechanize None Stateful programmatic web browsing. 2025-03-25

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