What package is ROC in R?
pROC package
The basic unit of the pROC package is the roc function. It will build a ROC curve, smooth it if requested (if smooth=TRUE), compute the AUC (if auc=TRUE), the confidence interval (CI) if requested (if ci=TRUE) and plot the curve if requested (if plot=TRUE).
How do you use AUC in R?
How to Calculate AUC (Area Under Curve) in R
- Step 1: Load the Data. First, we’ll load the Default dataset from the ISLR package, which contains information about whether or not various individuals defaulted on a loan.
- Step 2: Fit the Logistic Regression Model.
- Step 3: Calculate the AUC of the Model.
How to do a Markov chain analysis in R?
This analysis was conducted using the R programming language. R has a handy package called a Markov Chain that can handle a vast array of Markov chain types. To begin with, the first thing we did was to check if our sales sequences followed the Markov property.
What does zonetransition mean in a Markov chain?
In the above code, DriverZone refers to the state space of the Markov Chain; while ZoneTransition represents the transition matrix that gives the probabilities of movement from one state to another. There is a package in R ‘markovchain’ which can help us save time in implementing Markov Chains in R.
How are Markov chains different from other stochastic processes?
Markov chains are stochastic processes, but they differ in that they must lack any “memory”. That is, the probability of the next state of the system is only dependent on the present state of the system and not on any prior states. This is called the Markov property (seen below):
When is a Markov chain called a probability distribution?
If a Markov process operates within a specific set of states, it is called a Markov Chain. A current state probability distribution: defines the probability of being in any one of the states at the start of the process Now, coming back to the chocolate example we mentioned at the beginning of this article.