Package: alphastable
Title: Inference for Stable Distribution
Version: 0.1.0
Author: Mahdi Teimouri, Adel Mohammadpour, Saralees Nadarajah
Maintainer: Mahdi Teimouri <teimouri@aut.ac.ir>
Description: Developed to perform the tasks given by the following.
1-computing the probability density function and distribution function of a univariate
stable distribution; 2- generating realization from univariate stable, truncated stable,
multivariate elliptically contoured stable, and bivariate strictly stable distributions;
3- estimating the parameters of univariate symmetric stable, skew stable, Cauchy,
multivariate elliptically contoured stable, and multivariate strictly stable distributions;
4- estimating the parameters of the mixture of symmetric stable and mixture of Cauchy
distributions.
License: GPL (>= 2)
Encoding: UTF-8
LazyData: true
Depends: R(>= 3.4.0)
Imports: base, methods, mvtnorm, nlme, nnls, stabledist, stats
Suggests: Matrix, fBasics, FMStable, RUnit, Rmpfr, sfsmisc
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2018-06-15 17:33:02 UTC; NikPardaz
Repository: CRAN
Date/Publication: 2018-06-15 19:39:19

Author: Mahdi Teimouri, Adel Mohammadpour, and Saralees Nadarajah
Description: Developed to perform the tasks given by the following. 1-computing the probability density function and distribution function of a univariate stable distribution; 2- generating from univariate stable, truncated stable, multivariate elliptically contoured stable, and bivariate strictly stable distributions; 3- estimating the parameters of univariate symmetric stable, skew stable, Cauchy, multivariate elliptically contoured stable, and multivariate strictly stable distributions; 4- estimating
the parameters of the mixture of symmetric stable and mixture of Cauchy distributions.
Imports: mvtnorm, nnls, stabledist, nlme
Packaged: 2019-08-26 10:07:08 UTC; NikPardaz

Title: Lightweight R Interface to the Alpha Vantage API
person("Matt", "Dancho", email = "mdancho@business-science.io", role = c("aut", "cre")),
person("Davis", "Vaughan", email = "dvaughan@business-science.io", role = c("aut"))
Alpha Vantage has free historical financial information.
All you need to do is get a free API key at <https://www.alphavantage.co>.
Then you can use the R interface to retrieve free equity information.
Refer to the Alpha Vantage website for more information.
Suggests: tidyquant, tidyverse, timetk, testthat, knitr