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Showing entries 29401-29500 out of 52586.
r-mmeNix package
Multinomial Mixed Effects Models
r-mmelnNix package
Estimation of Multinormal Mixture Distribution
r-MMeMNix package
Multivariate Mixed Effects Model
r-mmetaNix package
Multivariate Meta-Analysis
Bayesian Informative Hypotheses Evaluation Web Applications
Cluster Adjusted t Statistic Applications
r-MMINPNix package
Microbe-Metabolite Interactions-Based Metabolic Profiles Predictor
Informative Hypothesis Testing Web Applications
r-MMLRNix package
Fitting Markov-Modulated Linear Regression Models
r-mmm2Nix package
Simultaneous Inference for Multiple Linear Contrasts in GEE Models
r-MMOCNix package
Multi-Omic Spectral Clustering using the Flag Manifold
r-mmodNix package
Modern Measures of Population Differentiation
Modeling Multivariate Origins Determinants - Evolutionary Lineages in Ecology
r-mMPANix package
Implementation of Marker-Assisted Mini-Pooling with Algorithm
r-mmpcaNix package
Integrative Analysis of Several Related Data Matrices
r-mmpfNix package
Monte-Carlo Methods for Prediction Functions
r-mmppNix package
Various Similarity and Distance Metrics for Marked Point Processes
r-mmrNix package
Matrix Multiplication on Data.frames
Case Classification and Selection Based on Regression Results
r-mmrmNix package
Multivariate Matched Sampling
Access to Teaching Materials from a ZIP File or GitHub
Multiple Maps t-SNE
Missing Multivariate Bayesian Variable Selection
Convert Dates to MMWR Day, Week, and Year
r-MNNix package
Matrix Normal Distribution
Clustering Data with Non-Ignorable Missingness using Semi-Parametric Mixture Models
r-MNBNix package
Diagnostic Tools for a Multivariate Negative Binomial Model
r-mndaNix package
Multiplex Network Differential Analysis (MNDA)
r-mnemNix package
r-mnetNix package
Modeling Group Differences and Moderation Effects in Statistical Network Models
r-mnisNix package
Easy Downloading Capabilities for the Members' Name Information Service
r-mniwNix package
The Matrix-Normal Inverse-Wishart Distribution
r-mnjNix package
r-mnlfaNix package
Moderated Nonlinear Factor Analysis
Simulated Predicted Probabilities for Multinomial Logit Models
r-MNLRNix package
Interactive Shiny Presentation for Working with Multinomial Logistic Regression
r-MNMNix package
Multivariate Nonparametric Methods
r-mnmerNix package
r-mnonrNix package
A Generator of Multivariate Non-Normal Random Numbers
r-mnormNix package
Multivariate Normal Distribution
The Multivariate Normal and t Distributions, and Their Truncated Versions
r-MNPNix package
Fitting the Multinomial Probit Model
MNREAD Parameters Estimation and Curve Plotting
r-MNSNix package
Mixed Neighbourhood Selection
r-mntNix package
Affine Invariant Tests of Multivariate Normality
r-mobNix package
Monotonic Optimal Binning
Run Reports, Models, and Scripts from a Mobile Device
Calculates Transition Matrices and Mobility Indices
r-MoBPSNix package
Modular Breeding Program Simulator
r-mobrNix package
Measurement of Biodiversity
Spatial Simulation and Scale-Dependent Analysis of Biodiversity Changes
r-mocNix package
r-MOCCANix package
Multi-Objective Optimization for Collecting Cluster Alternatives
r-MOCHANix package
Modeling for Single-Cell Open Chromatin Analysis
Mocking Library for R
r-mockrNix package
Mocking in R
Function Mocking for Unit Testing
r-modNix package
Lightweight and Self-Contained Modules for Code Organization
Extraction of Bands from MODIS Surface Reflectance Product MOD09 NRT
Moderation Analysis for Two-Instance Repeated Measures Designs
r-MODANix package
Association of Covariance for Detecting Differential Co-Expression
Hierarchical Modal Clustering
Mode Estimation
Multiscale Analysis for Density Functions
Stratified and Personalised Models Based on Model-Based Trees and Forests
Estimation of Model-Based Predictions, Contrasts and Means
Model BIC Posterior Probability
A Linear Model to 'SQL' Compiler
Classification Model Charts
Data Sets Useful for Modeling Examples
More Data Sets Useful for Modeling Examples
Fits Models Inside the Database
Make Static HTML Website for Predictive Models
Provide Tools to Register Models for Use in 'tidymodels'
Classes and Methods for Training and Using Binary Prediction Models
Combine Statistical Models into a Tibble for Comparison
Model-Free Estimation of a Psychometric Function
A Framework for Creating, Managing and Training Multiple 'caret' Models
Functions to Assess the Business Impact of Churn Prediction Models
Compare Models with Cross-Validated Log-Likelihood
Modeling and Map Production using Random Forest and Related Stochastic Models
Create Model Matrix and Save the Transforming Parameters
Rapid Calculation of Model Metrics
A Model Object Framework for Regression Analysis
Modelling Functions that Work with the Pipe