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A Collection of Functions for Negligible Effect/Equivalence Testing
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Inference of Elliptical Distributions and Copulas
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Simulate DNA Methylation Dynamics on Different Genomic Structures along Genealogies
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Causal Analysis of Observational Time-to-Event Data
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Unified Principal Sufficient Dimension Reduction Package
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Solvers for Maximum Weight Connected Subgraph Problem and Its Variants
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Lorenz and Penalized Lorenz Regressions
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A 'shiny' Application for Handwriting Analysis
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Miscellaneous Functions for Metabarcoding Analysis
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Reference-Based Imputation for Longitudinal Clinical Trials with Protocol Deviation
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Imputation Procedures and Quality Tests for Fuzzy Data
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Automation and Standardization of Cleaning Clinical Lab Data
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Visualize, Summarize and Simulate Data from Pedigrees
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A Machine-Learning Based Tool to Automate the Identification of Biological Database IDs
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Direct MLE for Multivariate Normal Mixture Distributions
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Hypothesis Testing Based on Neyman-Pearson Lemma and Likelihood Ratio Test
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Modified Generalized Estimating Equations for Binary Outcome
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R-Based Visualization Techniques for Task-Based Applications
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Informative Nonparametric Bootstrap Test with Pooled Resampling
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Tidy Dataframes and Expressions with Statistical Details
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Standardize Dates in Different Formats or with Missing Data
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Calculate Pairwise Multiple Comparisons of Mean Rank Sums Extended
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Functions that Apply to Rows and Columns of Matrices (and to Vectors)
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Multi-State Markov and Hidden Markov Models in Continuous Time
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EM Algorithm for Model-Based Clustering of Finite Mixture Gaussian Distribution
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Datasets and Functions to Accompany Analisis De Datos Con R
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Provides Test Functions for Multivariate Integration
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Fast Computation of some Matrices Useful in Statistics
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Analysis of Longitudinal Data with Irregular Observation Times
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Complementary Package to 'nicheROVER' and 'SIBER'
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Apply a PCA Like Procedure Suited for Multivariate Extreme Value Distributions
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Algorithm Driven Statistical Analysis for Researchers without Coding Skills
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Algorithm Driven Time Series Analysis for Researchers without Coding Skills