All packages

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modeLLtest — 1.0.4

Compare Models with Cross-Validated Log-Likelihood

ModelMap — 3.4.0.4

Modeling and Map Production using Random Forest and Related Stochastic Models

ModelMatrixModel — 0.1.0

Create Model Matrix and Save the Transforming Parameters

ModelMetrics — 1.2.2.2

Rapid Calculation of Model Metrics

modelObj — 4.2

A Model Object Framework for Regression Analysis

modelr — 0.1.11

Modelling Functions that Work with the Pipe

modelSSE — 0.1-3

Modelling Infectious Disease Superspreading from Contact Tracing Data

modelStudio — 3.1.2

Interactive Studio for Explanatory Model Analysis

modelsummary — 2.2.0

Summary Tables and Plots for Statistical Models and Data: Beautiful, Customizable, and Publication-Ready

modeltests — 0.1.6

Testing Infrastructure for Broom Model Generics

modeltime — 1.3.1

The Tidymodels Extension for Time Series Modeling

modeltime.ensemble — 1.0.4

Ensemble Algorithms for Time Series Forecasting with Modeltime

modeltime.resample — 0.2.3

Resampling Tools for Time Series Forecasting

modeltools — 0.2-23

Tools and Classes for Statistical Models

modelwordcloud — 0.1

Model Word Clouds

moder — 0.2.1

Mode Estimation

moderate.mediation — 0.0.10

Causal Moderated Mediation Analysis

moderndive — 0.7.0

Tidyverse-Friendly Introductory Linear Regression

modernVA — 0.1.3

An Implementation of Two Modern Education-Based Value-Added Models

modest — 0.3-1

Model-Based Dose-Escalation Trials

ModEstM — 0.0.1

Mode Estimation, Even in the Multimodal Case

modesto — 0.1.4

Modeling and Analysis of Stochastic Systems

modEvA — 3.23

Model Evaluation and Analysis

modgetxl — 0.4

A 'shiny' Module for Reading Excel Sheets

modgo — 1.0.1

Mock Data Generation

modi — 0.1.2

Multivariate Outlier Detection and Imputation for Incomplete Survey Data

modifiedmk — 1.6

Modified Versions of Mann Kendall and Spearman's Rho Trend Tests

modisfast — 1.0.0

Fast and Efficient Access to MODIS Earth Observation Data

MODISTools — 1.1.5

Interface to the 'MODIS Land Products Subsets' Web Services

modmarg — 0.9.6

Calculating Marginal Effects and Levels with Errors

modMax — 1.1

Community Structure Detection via Modularity Maximization

modnets — 0.9.0

Modeling Moderated Networks

modopt.matlab — 1.0-2

'MatLab'-Style Modeling of Optimization Problems

modQR — 0.1.3

Multiple-Output Directional Quantile Regression

modsem — 1.0.4

Latent Interaction (and Moderation) Analysis in Structural Equation Models (SEM)

ModStatR — 1.3.3

Statistical Modelling in Action with R

ModTools — 0.9.13

Building Regression and Classification Models

modTurPoint — 0.1.0

Estimate ED50 Based on Modified Turning Point Method

moduleColor — 1.8-4

Basic Module Functions

modules — 0.13.0

Self Contained Units of Source Code

MOEADr — 1.1.3

Component-Wise MOEA/D Implementation

MoEClust — 1.5.2

Gaussian Parsimonious Clustering Models with Covariates and a Noise Component

moexer — 0.3.0

Interact with Moscow Exchange Informational and Statistical Server ('ISS')

MOFAT — 1.0

Maximum One-Factor-at-a-Time Designs

mogavs — 1.1.0

Multiobjective Genetic Algorithm for Variable Selection in Regression

mojson — 0.1

A Serialization-Style Flattening and Description for JSON

mokken — 3.1.2

Conducts Mokken Scale Analysis

molaR — 5.3

Dental Surface Complexity Measurement Tools

MoLE — 1.0.1

Modeling Language Evolution

MolgenisArmadillo — 2.7.0

Armadillo Client for the Armadillo Service

MolgenisAuth — 0.0.25

'OpenID Connect' Discovery and Authentication

MOLHD — 0.2

Multiple Objective Latin Hypercube Design

mombf — 3.5.4

Model Selection with Bayesian Methods and Information Criteria

momentchi2 — 0.1.5

Moment-Matching Methods for Weighted Sums of Chi-Squared Random Variables

momentfit — 0.5

Methods of Moments

moments — 0.14.1

Moments, Cumulants, Skewness, Kurtosis and Related Tests

momentuHMM — 1.5.5

Maximum Likelihood Analysis of Animal Movement Behavior Using Multivariate Hidden Markov Models

Momocs — 1.4.1

Morphometrics using R

MomTrunc — 6.1

Moments of Folded and Doubly Truncated Multivariate Distributions

monaco — 0.2.2

The 'Monaco' Editor as a HTML Widget

monad — 0.1.1

Operators and Generics for Monads

MoNAn — 1.1.0

Mobility Network Analysis

monashtipr — 0.1.0

An R API Wrapper for the Monash University Probabilistic Footy Tipping Competition

mondate — 1.0

Keep Track of Dates in Terms of Months

Mondrian — 1.1-1

A Simple Graphical Representation of the Relative Occurrence and Co-Occurrence of Events

MonetDB.R — 2.0.0

Connect MonetDB to R

mongolite — 2.8.1

Fast and Simple 'MongoDB' Client for R

mongopipe — 0.1.1

Query MongoDB Documents with R

monitoR — 1.0.7

Acoustic Template Detection in R

monitOS — 0.1.5

Monitoring Overall Survival in Pivotal Trials in Indolent Cancers

monmlp — 1.1.5

Multi-Layer Perceptron Neural Network with Optional Monotonicity Constraints

monobin — 0.2.4

Monotonic Binning for Credit Rating Models

monobinShiny — 0.1.0

Shiny User Interface for 'monobin' Package

monochromeR — 0.2.0

Easily Create, View and Use Monochrome Colour Palettes

monoClust — 1.2.1

Perform Monothetic Clustering with Extensions to Circular Data

monographaR — 1.3.1

Taxonomic Monographs Tools

MonoInc — 1.1

Monotonic Increasing

monolix2rx — 0.0.3

Converts 'Monolix' Models to 'rxode2'

monomvn — 1.9-21

Estimation for MVN and Student-t Data with Monotone Missingness

MonoPhy — 1.3.2

Explore Monophyly of Taxonomic Groups in a Phylogeny

MonoPoly — 0.3-10

Functions to Fit Monotone Polynomials

monoreg — 2.1

Bayesian Monotonic Regression Using a Marked Point Process Construction

monotone — 0.1.2

Performs Monotone Regression

MonotoneHazardRatio — 0.2.0

Nonparametric Estimation and Inference of a Monotone Hazard Ratio Function

monotonicity — 1.3.1

Test for Monotonicity in Expected Asset Returns, Sorted by Portfolios

monreg — 0.1.4.1

Nonparametric Monotone Regression

Monte.Carlo.se — 0.1.1

Monte Carlo Standard Errors

MonteCarlo — 1.0.6

Automatic Parallelized Monte Carlo Simulations

MonteCarloSEM — 0.0.8

Monte Carlo Data Simulation Package

moocore — 0.1.2

Core Mathematical Functions for Multi-Objective Optimization

moodef — 1.1.0

Defining 'Moodle' Elements from R

moodlequizR — 2.1.1

Easily Create Fully Randomized 'Moodle' Test Questions

moodleR — 1.0.1

Helper Functions to Work with 'Moodle' Data

moonBook — 0.3.1

Functions and Datasets for the Book by Keon-Woong Moon

moose — 0.0.1

Mean Squared Out-of-Sample Error Projection

mop — 0.1.2

Mobility Oriented-Parity Metric

mopac — 0.1.0

Collection of Datasets Pertaining to Loop 1 "Mopac"

MOQA — 2.0.0

Basic Quality Data Assurance for Epidemiological Research

moranajp — 0.9.7

Morphological Analysis for Japanese

moreparty — 0.4

A Toolbox for Conditional Inference Trees and Random Forests

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