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Topic > Multivariate Statistics

Correspondence Analysis (3 project)
Forward Search (0 project)
Latent Variable Approaches (12 project)
Linear Models (11 project)
Matrix Manipulations (6 project)
Missing Data (4 project)
Modelling Non-Gaussian Data (12 project)
Multivariate Distributions (8 project)
Principal Coordinates / Scaling Methods (2 project)
Projection Methods (10 project)
Supervised Classification and Discriminant Analysis (10 project)
Unsupervised Classification (8 project)
Visualising Multivariate Data (19 project)

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11 projects in result set.

0. Spatial Change Point Test - Carries out three different change point tests as outlined in Gromenko, Kokoszka, and Reimherr (2015), for spatio-temporal functional data.
Development Status : 4 - Beta (Now Filtering) Intended Audience : End Users/Desktop [Filter] License : Public Domain [Filter] Natural Language : English [Filter] Programming Language : R [Filter] Topic : Multivariate Statistics [Filter]	Activity Percentile: 0.00 Registered: 2015-10-14 20:57

1. Benchmarking genomic data integration - Comparison pipeline for multi-platform data integration algorithms for functional genomics studies. Provides tools to compare performance between publicly available implementations

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Topic : Bioinformatics [Filter]
Topic : Genetics [Filter]
Topic : Multivariate Statistics [Filter]

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Registered: 2011-02-02 00:51

2. Muste - the R implementation of Survo - Muste - Multiplatform Survo Type Editorial Environment for Data Analysis

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Topic : Multivariate Statistics [Filter]
Topic : Text [Filter]

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Registered: 2011-06-27 14:20

3. Quasi-likelihood parameter estimation - The package provides methods for parameter estimation for statistical models that can be simulated. We follow a quasi-likelihood approach to estimate the unknown parameter by the root of the so-called quasi-score estimating function.

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Natural Language : German [Filter]
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Programming Language : R [Filter]
Topic : Bioinformatics : Statistics [Filter]
Topic : Multivariate Statistics [Filter]
Topic : Spatial Data & Statistics [Filter]

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Registered: 2017-08-30 21:22

4. Mutoss - Mutoss (multiple hypotheses testing in an open software system) aims at providing a unified, extensible interface covering a large spectrum of multiple hypotheses testing procedures in R. Features a GUI and a simulation tool. Funded by PASCAL2.

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Programming Language : Java [Filter]
Programming Language : R [Filter]
Topic : Education : GUI [Filter]
Topic : Multivariate Statistics [Filter]

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Registered: 2010-02-11 12:32

5. Bayesian Estimation and Model Checking - This package mainly deals with generalized linear spatial models in Bayesian way for estimation, prediction and model checking.

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Topic : Bayesian Statistics [Filter]
Topic : Multivariate Statistics [Filter]
Topic : Spatial Data & Statistics : Geostatistics [Filter]

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Registered: 2011-08-18 03:20

6. blupsurv - Tools for fitting proportional hazards models to clustered recurrent events data. Nested frailties are modeled by their best linear unbiased predictors under an auxiliary Poisson model. Univariate and bivariate recurrent events processes are permitted.

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Programming Language : Fortran [Filter]
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Topic : Biostatistics & Medical Statistics [Filter]
Topic : Multivariate Statistics [Filter]
Topic : Regression Models [Filter]

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Registered: 2008-06-14 13:52

7. inspectr - Handling and analysis of Vis-NIR spectra, especially for soil science.

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Topic : Chemoinformatics [Filter]
Topic : Environmetrics [Filter]
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Registered: 2011-06-08 03:22

8. The adegenet package - The package adegenet is devoted to the multivariate analysis of genetic markers data.

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Natural Language : French [Filter]
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Topic : Genetics : Population Genetics [Filter]
Topic : Multivariate Statistics [Filter]
Topic : Spatial Data & Statistics [Filter]

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Registered: 2008-01-06 17:38

9. Cytangle - Analyze single cell mass cytometry data

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Topic : Bioinformatics : Visualization [Filter]
Topic : Cluster Analysis [Filter]
Topic : Multivariate Statistics [Filter]

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Registered: 2016-10-26 12:51

10. umx: A helper library for SEM in OpenMx - umx provides functions making it easy to build, run, modify, and report the results of Structural Equation Models (SEM) using OpenMx. Examples include setting start values: umxStart(); labels: umxLabel(); and reporting; umxSummary().

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Topic : Optimization : General Purpose Continuous Solvers [Filter]

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Registered: 2013-08-28 13:52