BETS

❗ Please read this carefully before using the latest BETS version (0.4.4)

The package went through considerable changes.

BETS - Brazilian Economic Times Series

Installation

# cran version
install.packages("BETS") 
# dev version
devtools::install_github("nmecsys/BETS")

Usage

library(BETS)

❗ Important (update 0.4.2)

1. BETS package underwent major changes in response to R Journal's reccomendations:
   • New function names (see table below)
   • Database onnection credentials are now encrypted
   • Sample data was included in /data, to allow the user to run examples even when offline, or when our server is down.

Old name	New name
BETS.search	BETSsearch
BETS.get	BETSget
BETS.chart	chart
BETS.save.sas	saveSas
BETS.save.stata	saveStata
BETS.save.spss	saveSpss
BETS.corrgram	corrgram
BETS.dashboard	dashboard
BETS.deflate	deflate
BETS.dummy	dummy
BETS.grnn.test	grnn.test
BETS.grnn.train	grnn.train
BETS.normalize	normalize
BETS.predict	predict
BETS.report	report
BETS.sidra.get	sidraGet
BETS.sidra.search	sidraSearch
BETS.std_resid	std_resid
BETS.t_test	t_test
BETS.ur_test	ur_test

1. Package forecast's newest version (8.3) contains a bug in ndiffs. An error arises when trying to run Augmented Dickey-Fuller (ADF) tests. Therefore, BETS' report function does not work properly if the user opt for SARIMA analysis with ADF tests. A solution is to install forecast 8.2:

remove.packages("forecast")
install.packages("devtools")
devtools::install_version("forecast", version = "8.2", type = "source")

Using BETS in python

import rpy2.robjects as ro
import pandas as pd
from rpy2.robjects.packages import importr
from rpy2.robjects import pandas2ri
from rpy2.robjects.conversion import localconverter


# Getting Industrial Production (2002 = 100) - Rio de Janeiro

bets = importr("BETS")
dados = bets.BETSget(code=11081, data_frame=True)


with localconverter(ro.default_converter + pandas2ri.converter):
    pim_rj = ro.conversion.rpy2py(dados)

print(pim_rj)