Safe, Multiple, Simultaneous String Substitution

Multiscale Geographically Weighted Negative Binomial Regression

Displays GWR (Geographically Weighted Regression) and Mixed GWR
Output and Map
R package mgwrhw version 1.1.1.5

GWR, Mixed GWR with Spatial Autocorrelation and Multiscale
GWR/GTWR (Top-Down Scale Approaches)
R package mgwrsar version 1.3.2

Nonparametric and Semiparametric Methods for Multivariate
Failure Time Data
R package mhazard version 0.2.3

Analysis of MHC Data in Non-Model Species

Multilevel Hidden Markov Models Using Bayesian Estimation

Approximate Algorithm for Horseshoe Prior

Modified Hodrick-Prescott Filter with Optimal Smoothing
Parameter Selection

Inference for Hidden Markov and Semi-Markov Models

Multiple Hypotheses Testing for Discrete Data

Multiple Hypotheses Testing for Multiple Families/Groups
Structure

Optimal Multiple Hypothesis Testing Corrections

Bayesian Model Selection in Logistic Regression for the
Detection of Adverse Drug Reactions
R package MHTrajectoryR version 1.0.1

Missing Data Imputation and Model Checking

A Modular, Integrated Approach to Maximum Entropy Distribution
Modeling

Analysis of Antimicrobial Minimum Inhibitory Concentration Data
R package MIC version 2.0.1

Multiple Imputation in Causal Graph Discovery

Multivariate Imputation by Chained Equations

Some Additional Multiple Imputation Functions, Especially for
'mice'

Data and Statistical Analyses after Multiple Imputation

Demand Analysis with the Almost Ideal Demand System (AIDS)

Analysis with the Constant Elasticity of Substitution (CES)
Function

Econometric Production Analysis with Ray-Based Distance
Functions

Symmetric Normalized Quadratic Profit Function

Imputation with 'mice' and Distributional Random Forests

Fast Imputations Using 'Rcpp' and 'Armadillo'

Multiple Imputation by Chained Equations with Multilevel Data

Multiple Imputation by Chained Equations with Random Forests

The Works (in Luxembourguish) of Michel Rodange

Multivariate Independent Comparison of Observations

Promotion Time Cure Model with Mis-Measured Covariates