Tools for Analyzing Finite Mixture Models
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Updated
Jun 17, 2024 - R
#
mixture-of-experts
Here are 7 public repositories matching this topic...
ecomix is a package to implement model based species level (Species Archetype Models) or site level (Regions of Common Profile) grouping of community data.
r
rstats
r-package
mixture-of-experts
mixture-of-regressions
species-archetype-models
region-of-common-profiles
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Updated
Oct 10, 2023 - R
Gaussian Parsimonious Clustering Models with Gating and Expert Network Covariates
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Updated
Dec 11, 2023 - R
Mixtures of Exponential-Distance Models for Clustering Longitudinal Life-Course Sequences with Gating Covariates and Sampling Weights
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Dec 12, 2023 - R
This R package allows the emulation using a mesh-clustered Gaussian process (mcGP) model for partial differential equation (PDE) systems.
partial-differential-equations
r-package
uncertainty-quantification
gaussian-processes
finite-element-methods
mixture-of-experts
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Updated
Jun 13, 2024 - R
Mixtures-of-ExperTs modEling for cOmplex and non-noRmal dIsTributionS
clustering
statistical-learning
prediction
artificial-intelligence
statistical-inference
neural-networks
skew-t
unsupervised-learning
em-algorithm
non-linear-regression
t-distribution
mixture-of-experts
skewed-data
robust-learning
skew-normal
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Updated
Feb 13, 2020 - R
This instruction aims to reproduce the results in the paper “Mesh-clustered Gaussian process emulator for partial differential equation boundary value problems”(2024) to appear in Technometrics.
partial-differential-equations
reproducibility
uncertainty-quantification
gaussian-processes
finite-element-methods
mixture-of-experts
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Updated
Feb 1, 2024 - R
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