Skip to content

Commit a27c4a2

Browse files
author
Johan Dahlin
authored
Update README.md
Former-commit-id: 541bb8a
1 parent a8dbb2b commit a27c4a2

1 file changed

Lines changed: 9 additions & 3 deletions

File tree

README.md

Lines changed: 9 additions & 3 deletions
Original file line numberDiff line numberDiff line change
@@ -10,9 +10,15 @@ Requirements
1010
--------------
1111
The code is written and tested for R 3.2.2, Matlab R2014a and Python 2.7.6 with some additional libraries/packages (see below).
1212

13-
The implementation in R makes use of the packages Quandl and mvtnorm. They can be installed by the command "install.packages(c("mvtnorm","Quandl"))".
14-
15-
The implementation in Python makes use of NumPy 1.9.2, SciPy 0.15.1, Matplotlib 1.4.3, Pandas 0.13.1 and Quandl 2.8.9. On Ubuntu, these packages can be installed/upgraded using "sudo pip install --upgrade package-name ". For more information about the Quandl library, see < https://www.quandl.com/tools/python >.
13+
The implementation in R makes use of the packages Quandl and mvtnorm. They can be installed by the command
14+
``` R
15+
install.packages(c("mvtnorm", "Quandl"))
16+
```
17+
The implementation in Python makes use of NumPy 1.9.2, SciPy 0.15.1, Matplotlib 1.4.3, Pandas 0.13.1 and Quandl 2.8.9. On Ubuntu, these packages can be installed/upgraded using
18+
``` bash
19+
sudo pip install --upgrade package-name
20+
```
21+
For more information about the Quandl library, see < https://www.quandl.com/tools/python >.
1622

1723
The implementation in Matlab makes use of the statistics toolbox and the Quandl package. See < https://github.com/quandl/Matlab > for more installation and to download the toolbox. Note that urlread2 is required by the Quandl toolbox and should be installed as detailed in the README file of the Quandl toolbox.
1824

0 commit comments

Comments
 (0)