gui11aume / hmmt Goto Github PK
View Code? Open in Web Editor NEWR package for Hidden Markov Models with t emissions
R package for Hidden Markov Models with t emissions
The R package HMMt provides a modified Baum-Welch algorithm that supports multi-dimensional Student's t emission. It also handles NA and provides a 'bridge()' function to uniformize sampling rate. Please do not copy-paste the code. Instead, use 'git clone [email protected]:gui11aume/HMMt.git' to have the full version history. The code is here for reproducibility and mistake-tracking purposes, but feel free to copy, reuse and modify it in any way you like. After installing the package, you can run the following lines of code in R to get started. library(HMMt) x <- c(rt(1000, df=3), rt(1000, df=3)+1) # x has a t distribution with a jump at position 1001. plot(x, type = 'l') # Check the output of BaumWelchT. BaumWelchT(x) # See that it usually finds the transition. lines(BaumWelchT(x)$ViterbiPath-1, col=2)
Hi,
First, thank you for sharing this useful package.
I encounter an underflow error where scr/viterbi.f vit() complained that log(initialProb) was infinite.
In R/Viterbi.R
I added
initialProb <- log(initialProb)
initialProb[is.infinite(initialProb)] <- -325
As it is done for emissionProb
. Of course, I then gave initialProb
in the argument of the fortran vit function.
I had never encountered this error before.
Cheers.
Jeremie
Hello!
I tried to specify the transition matrix using Q with my own state transition probabilities but once I run BaumWelchT, the state transition matrix has different values. Is this normal?
I have trouble installing the package, both when using devtools install_github, and when doing it by first cloning followed by R CMD INSTALL.
I get these error messages:
It appears to be caused by the configure script.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.