Alternatives and similar repositories for concentrationMetrics:

Users that are interested in concentrationMetrics are comparing it to the libraries listed below

• microsoft / SparseSC
  Fit Sparse Synthetic Control Models in Python
  ☆82Updated last year
• asdf8601 / IneqPy
  IneqPy package provides statistics to carry on quantitative analysis of inequality.
  ☆20Updated 5 months ago
• natematias / research_in_python
  This repository includes all the data analyses I carry out for my general exams reading, Spring 2015
  ☆64Updated 9 years ago
• jaehyukpark / global_labor_flow_network
  This repo aims to share the core algorithms used in the paper, "Global labor flow network reveals the hierarchical organization and dynam…
  ☆29Updated 5 years ago
• evan-magnusson / rdd
  Python tools for regression discontinuity designs
  ☆69Updated 5 years ago
• sdfordham / pysyncon
  A python module for the synthetic control method
  ☆65Updated last week
• ljwolf / bayespatial
  spatial statistical/econometric modeling in pymc3 & stan
  ☆25Updated 3 years ago
• gnazareths / synth
  ☆17Updated 7 years ago
• robjhyndman / ctv-TimeSeries
  git mirror of CRAN Task View Time Series files
  ☆48Updated 3 years ago
• TeconomicsBlog / notebooks
  ☆97Updated 7 years ago
• MasaAsami / pysynthdid
  Synthetic difference in differences for Python
  ☆76Updated last year
• jeffalstott / pystan_time_series
  Basic time series modeling with Stan and Pystan
  ☆33Updated 7 years ago
• LeihuaYe / Causal-Inference-Using-Quasi-Experimental-Methods
  Causal Inference Using Quasi-Experimental Methods
  ☆20Updated 4 years ago
• CamDavidsonPilon / lifestyles
  Work-In-Progress: conjoint analysis in Python
  ☆52Updated 6 years ago
• bernardodionisi / differences
  difference-in-differences in Python
  ☆100Updated last year
• hammadshaikhha / Causal-Inference-Mastery
  Notes and simulations on graduate level causal inference in statistics with applications to social sciences.
  ☆23Updated 5 years ago
• larsroemheld / causalinf_ex_elasticity
  A full example for causal inference on real-world retail data, for elasticity estimation
  ☆50Updated 3 years ago
• nlapier2 / PySensemakr
  Python implementation of the original R sensemakr package: https://github.com/carloscinelli/sensemakr
  ☆51Updated 4 months ago
• luisroque / bayesian_time_series
  Machine Learning models using a Bayesian approach and often PyMC3
  ☆24Updated 4 years ago
• andrewtavis / causeinfer
  Machine learning based causal inference/uplift in Python
  ☆59Updated last year
• matheusfacure / exploratory-notebooks
  Unstructured Code with interesting analysis
  ☆37Updated 6 months ago
• sidravi1 / Blog
  ☆24Updated 4 years ago
• TomAugspurger / Greene_Econometrics
  ☆16Updated 11 years ago
• IQSS / cem
  ☆17Updated 2 years ago
• swager / causalForest
  DEPRECATED. See new generalized random forest package for up-to-date implementation.
  ☆53Updated 7 years ago
• spotify-research / tdsurv
  Code for the paper "Temporally-Consistent Survival Analysis".
  ☆24Updated 2 years ago
• yoonkanglow / Causal-Impact-Analysis-Demo
  ☆26Updated 7 years ago
• inovex / justcause
  💊 Comparing causality methods in a fair and just way.
  ☆138Updated 5 years ago
• jehangiramjad / tslib
  Time Series Forecasting and Imputation
  ☆48Updated 3 years ago
• parsing-science / pydata_nyc_nov_2017
  ☆30Updated 7 years ago