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Models for Skewed Count Distributions Relevant to Networks
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Differentially Expressed Heterogeneous Overdispersion Gene Test for Count Data
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Statistical Functions for the Delaporte Distribution
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Sample Size and Power Calculations using the APPLE, SEPPLE, APPLE+ and SEPPLE+ Methods
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Delaunay Triangulation and Dirichlet (Voronoi) Tessellation
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Quantify Rhythmic Gene Co-Expression Relative to a Reference
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Identification of Dichotomous Differential Item Functioning (DIF) using Angoff's Delta Plot Method
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Kernel Density Estimation using Lifetime Distributions
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Decision Making Trial and Evaluation Laboratory Technique in R
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Deming, Theil-Sen, Passing-Bablock and Total Least Squares Regression
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Providing Demographic Table with the P-Value, Standardized Mean Difference Value
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Forecasting Mortality, Fertility, Migration and Population Data
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Runs a 'Shiny' App as Demo or Lists All Demo 'Shiny' Apps
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Extra Functions to Cut, Label and Colour Dendrogram Clusters
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Forest Estimations and Dendrometric Computations
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Create Networks of Dendrochronological Series using Pairwise Similarity
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A Set of Tools for Calculating Spatial Synchrony Between Tree-Ring Chronologies
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Linear and Nonlinear Methods for Analyzing Daily and Monthly Dendroclimatological Data
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Differential Expression Analysis Using a Bottom-Up Model
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Functional Linear Mixed Models for Densely Sampled Data
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Density Estimation via Bayesian Inference Engines
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Analysing Density Profiles from Resistance Drilling of Trees
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Clustering by Fast Search and Find of Density Peaks
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Dens-Based Method for Partial Correlation Estimation in Large Scale Brain Networks
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Density Strips and Other Methods for Compactly Illustrating Distributions
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Differential Evolution Optimization in Pure R
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Cache R Expressions, Taking Their Dependencies into Account
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Statistical Methods for the Analysis of Dependently Truncated Data
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Read, Plot and Analyse Output from the DEPONS Model
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Statistical Depth Functions for Multivariate Analysis
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Functions and R Code to Accompany Derivatives Markets
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Describe Data in R Using Common Descriptive Statistics
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Interactive Functions to be Used as Shortcuts in 'RStudio'
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Blocking and Randomization for Experimental Design
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Matched Samples that are Balanced and Representative by Design