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-deep-learning-for-multi-year-enso-forecasts-

**Deep learning for multi-year ENSO forecasts** 复现工作相关代码、数据

aacc2019

Source code for writing an RMarkdown article for an Elsevier journal

aeapp-metcalf-stock-2020

Data and code for: Measuring the Macroeconomic Impact of Carbon Taxes

bgvar

Toolbox for the estimation of Bayesian Global Vector Autoregressions in R.

bls-cpi-inflation-analysis

R script for reading in and analyzing CPI inflation data

brazilianbanks

Data on Brazilian banks and other regulated financial institutions

climatechange_figures

ctv

CRAN Task View Initiative

da_case_studies

Codes for case studies for the Bekes-Kezdi Data Analysis textbook

debt-data

Projects related to the World Bank's Debt Statistics

deep-direct-reinforcement-learning-for-financial-signal-representation-and-trading

A deep learning model for Financial Signal Representation and Trading

dime-data-handbook

Development Research in Practice: The DIME Analytics Data Handbook. By Kristoffer Bjärkefur, Luíza Cardoso de Andrade, Benjamin Daniels, and Maria Jones

economic_impact_schisto

Data and replication code for the paper "The Economic Impact of Schistosomiasis"

economictracker

Download data from the Opportunity Insights Economic Tracker — https://tracktherecovery.org/

enso

Detrending and modeling of NOAA precipitation climate data.

evidently

Evaluate and monitor ML models from validation to production. Join our Discord: https://discord.com/invite/xZjKRaNp8b

faoswsstandardization

Standardization logic for Food Balance Sheets

fecon236

Tools for financial economics. Curated wrapper over Python ecosystem. Source code for fecon235 Jupyter notebooks.

fixest

Fixed-effects estimations

food-security-risk-index

A model to construct a Food Security Risk Index (FSRI) based on data of population, Climate, Trade/Economics, and Food stress index to provide a possible solution to predict food security.

forecast-and-assessment-of-general-inflation-

This code mainly computes the forecast of headline inflation using different aproaches. Likewise presents the forecast evaluation for each model along different points in a span period.

forecastinginflation

Forecasting Inflation in a data-rich environment: the benefits of machine learning methods

gcamdata_fao_raw

This repo includes an R project to link data on FAOSTAT website (API) to the aglu/FAO folder in gcamdata. The project aims to provided traceable FAO data processing and transparent assumptions.

ggplot2-book

ggplot2: elegant graphics for data analysis

ghibli

Studio Ghibli colour palettes

gingado

A machine learning library for economics and finance

gingado-1

A machine learning library for economics and finance

googledrive

Google Drive R API

growth-machinelearning

"LESSONS FROM PREDICTING GROWTH AND RECESSIONS"

gvarx

:exclamation: This is a read-only mirror of the CRAN R package repository. GVARX — Perform Global Vector Autoregression Estimation and Inference