R-universe search: exports:rvm

Showing 6 of total 6 results (show query)

alexkz

kernlab:Kernel-Based Machine Learning Lab

Kernel-based machine learning methods for classification, regression, clustering, novelty detection, quantile regression and dimensionality reduction. Among other methods 'kernlab' includes Support Vector Machines, Spectral Clustering, Kernel PCA, Gaussian Processes and a QP solver.

Maintained by Alexandros Karatzoglou. Last updated 8 months ago.

openblas cpp

21 stars 12.26 score 7.8k scripts 487 dependents

janoleko

LaMa:Fast Numerical Maximum Likelihood Estimation for Latent Markov Models

A variety of latent Markov models, including hidden Markov models, hidden semi-Markov models, state-space models and continuous-time variants can be formulated and estimated within the same framework via directly maximising the likelihood function using the so-called forward algorithm. Applied researchers often need custom models that standard software does not easily support. Writing tailored 'R' code offers flexibility but suffers from slow estimation speeds. We address these issues by providing easy-to-use functions (written in 'C++' for speed) for common tasks like the forward algorithm. These functions can be combined into custom models in a Lego-type approach, offering up to 10-20 times faster estimation via standard numerical optimisers. To aid in building fully custom likelihood functions, several vignettes are included that show how to simulate data from and estimate all the above model classes.

Maintained by Jan-Ole Koslik. Last updated 2 days ago.

openblas cpp openmp

9 stars 7.86 score 42 scripts

tobiste

tectonicr:Analyzing the Orientation of Maximum Horizontal Stress

Models the direction of the maximum horizontal stress using relative plate motion parameters. Statistical algorithms to evaluate the modeling results compared with the observed data. Provides plots to visualize the results. Methods described in Stephan et al. (2023) <doi:10.1038/s41598-023-42433-2> and Wdowinski (1998) <doi:10.1016/S0079-1946(98)00091-3>.

Maintained by Tobias Stephan. Last updated 5 days ago.

geology structural-geology tectonics

7 stars 7.27 score 33 scripts

claudioagostinelli

CircStats:Circular Statistics, from "Topics in Circular Statistics" (2001)

Circular Statistics, from "Topics in Circular Statistics" (2001) S. Rao Jammalamadaka and A. SenGupta, World Scientific.

Maintained by Claudio Agostinelli. Last updated 7 years ago.

2 stars 6.60 score 261 scripts 36 dependents

c7rishi

BAMBI:Bivariate Angular Mixture Models

Fit (using Bayesian methods) and simulate mixtures of univariate and bivariate angular distributions. Chakraborty and Wong (2021) <doi:10.18637/jss.v099.i11>.

Maintained by Saptarshi Chakraborty. Last updated 5 months ago.

cpp

3 stars 4.77 score 65 scripts 1 dependents

yxlin

CircularDDM:Circular Drift-Diffusion Model

Circular drift-diffusion model for continuous reports.

Maintained by Yi-Shin Lin. Last updated 7 years ago.

cpp

1.70 score 5 scripts