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Design and Simulation of Seamless Phase II-III Clinical Trials
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Univariate and Multivariate Spatial Modeling of Species Abundance
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Space-Filling Random and Quasi-Random Sequences
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Standard and User-Defined RGB Color Spaces, with Conversion Between RGB and CIE XYZ and Lab
a year ago by Klaus Nordhausen
Blind Source Separation for Multivariate Spatio-Temporal Data
a year ago by Alex M Chubaty
Develop and Run Spatially Explicit Discrete Event Simulation Models
a year ago by Eliot J B McIntire
Core Utilities for Developing and Running Spatially Explicit Discrete Event Models
a year ago by Alex M Chubaty
Additional Tools for Developing Spatially Explicit Discrete Event Simulation (SpaDES) Models
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Artificial Spatial and Spatio-Temporal Densities on Bounded Windows
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64-Bit Extension of the SPArse Matrix R Package 'spam'
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Mixed-Effect Models, with or without Spatial Random Effects
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Translate Quantities from Strings to Integer and Back. Misc Functions on Spanish Data
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Analysis of Field Trials with Geostatistics & Spatial AR Models
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Read in 'SAS' Data ('.sas7bdat' Files) into 'Apache Spark'
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Analysis of Differential Behaviour of SPARRA Score Across Demographic Groups
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Power Analysis to Detect Spatial Relative Risk Clusters
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Sparse Matrix C++ Classes Including Sparse Cholesky LDL Decomposition of Symmetric Matrices
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Functional Linear Mixed Models for Irregularly or Sparsely Sampled Data
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Design of Portfolio of Stocks to Track an Index
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The Sparse Latent Position Model for Nonnegative Interaction Data
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RcppEigen back end for sparse least trimmed squares regression
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SPAtial Resolution-SEnsitive Models of Outbreak Dynamics
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Multivariate Normal Functions for Sparse Covariance and Precision Matrices
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Fit Sparse Linear Regression Models via Nonconvex Optimization
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Variable Selection under Ranked Sparsity Principles for Interactions and Polynomials
9 years ago by Marc Ratkovic
Sparse Bayesian Models for Regression, Subgroup Analysis, and Panel Data
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Elastic Net Penalized Maximum Likelihood for Structural Equation Models with Network GPT Framework
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Sparse Truncated Singular Value Decomposition (from 'SVDLIBC')
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Solution Paths of Sparse High-Dimensional Support Vector Machine with Lasso or Elastic-Net Regularization
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Spike-and-Slab Variational Bayes for Linear and Logistic Regression
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Sparse Vector Field Consensus for Vector Field Learning
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Statistical Pattern Recognition and daTing using Archaeological Artefacts assemblageS
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Variance Identification in Sparse Factor Analysis
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Spatio-Temporal Modeling of Large Data Using a Spectral SPDE Approach
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Generalized Spatial Autoregresive Models for Mean and Variance
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Score Test and Meta-Analysis Based on Saddlepoint Approximation
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Functional Geostatistics: Univariate and Multivariate Functional Spatial Prediction
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Spatial Grid Generation from Longitude and Latitude List