![]() Let us consider a straightforward example to help you better understand the package use. Once the statsmodel is installed, you can make use of the statsmodel package inside your Python program simply by importing the package at the top of the file by using the below import statement – import statsmodelĪfter that, you can use the functions and features of statsmodel in that Python program. The statsmodel package will be ready for use once you follow the above installation steps. The execution of command on the terminal may result in the following – For this, open the terminal, and by using the pip, you need to enter the following command on the terminal – Sudo pip install statsmodelĮxecuting the above command will give the following output –Īs an alternative to the above, you can try installing statsmodel by using Conda, and the command will be – Sudo conda install statsmodel If you have all the above packages installed on your machine, you can go for installing statsmodel by using the terminal commands. ![]() We have to make sure that the following prerequisites are fulfilled – We can install the library of statsmodel by executing certain commands. Most of the developers who program in R can make use of this and can easily make their move to Python using this package. It has more inclination towards R and is a perfect tool when analyzing statistical things. We can work with statistics in a way that no other platform will allow us as the statsmodel itself is made, keeping the purpose of hardcore statistics in mind. Many improvements, rigorous testing, and corrections were made in the Google Summer of Code 2009, and finally, the package with the statsmodels was launched.Įven now, many of the statistical models, tools for plotting, and new models are emerging and introduced in the market with continuous development by the team of statsmodel. Scipy.stats was the module of the scipy package and was written initially by Jonathan Taylor, but later it was removed, and a completely new package was created.
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