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Interface for the 'Wildbook' Wildlife Data Management Framework
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Test, Document, Containerise, and Deploy R Packages
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Lazy Search in R Packages, Task Views, CRAN, the Web. All-in-One Download
6 years ago by Dan Warren
R We There Yet? Visualizing MCMC Convergence in Phylogenetics
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Functions to Compute Chemical and Chemical Reaction Similarity
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Combined Total and Allele Specific Reads Sequencing Study
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Maximum Likelihood Shrinkage using Generalized Ridge or Least Angle Regression
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R Interface to the 'Yacas' Computer Algebra System
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Legacy 'Ryacas' (Interface to 'Yacas' Computer Algebra System)
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Functions for University of Auckland Course STATS 201/208 Data Analysis
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A Set of Common Tools for Seasonal to Decadal Verification
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Biclustering via Sparse Singular Value Decomposition Incorporating Stability Selection
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An Object Oriented System Meant to Become a Successor to S3 and S4
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Somatic Copy Number Alteration Analysis Using Sequencing and SNP Array Data
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Extract Saccades via an Ensemble of Methods Approach
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Verify the Scale, Anisotropy and Direction of Weather Forecasts
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Species Abundance Distributions with Independent-Species Assumption
10 months ago by Paulo I. Prado
Maximum Likelihood Models for Species Abundance Distributions
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Small Area Estimation using Fay-Herriot Models with Additive Logistic Transformation
3 years ago by Sheerin Dahwan Aziz
Selecting Auxiliary Variables in Small Area Estimation (SAE) Model
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Small Area Estimation using Empirical Bayes without Auxiliary Variable
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Small Area Estimation for Continuous Zero Inflated Data
a year ago by Zaza Yuda Perwira
Small Area Estimation using Hierarchical Bayesian Method
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Small Area Estimation with Measurement Error using Hierarchical Bayesian Method
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SAE with Measurement Error using HB under Beta Distribution
3 years ago by Velia Tri Marliana
Small Area Estimation using Hierarchical Bayesian Method for Rao Yu Model
3 months ago by Dian Rahmawati Salis
Small Area Estimation using HB for Rao Yu Model under Beta Distribution
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Small Area Estimation Hierarchical Bayes For Spatial Model
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Basic Unit Level Model using Hierarchical Bayesian Approach
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Small Area Estimation using Hierarchical Bayesian under Zero Inflated Binomial Distribution
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Small Area Estimation Non-Parametric Based Nadaraya-Watson Kernel
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Stochastic Approximation Expectation Maximization (SAEM) Algorithm
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Small Area Estimation with Cluster Information for Estimation of Non-Sampled Areas
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Small Area Estimation using Averaging Pseudo Area Level Model
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Interactive Graphics for Monitoring Clinical Trial Safety
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Applied Statistics for Economics and Management with R
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Clustering via Stochastic Approximation and Gaussian Mixture Models
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An Extension of the Taylor Diagram to Two-Dimensional Vector Data
7 months ago by Ghislain de Laplante
Functions Used for SAiVE Group Research, Collaborations, and Publications