Implementation of Remez Algorithm for Polynomial and Rational
Function Approximation

Survival Distributions with Piece-Wise Constant Hazards

Implementation of the minMSE Treatment Assignment Method for One
or Multiple Treatment Groups
R package minMSE version 0.5.1

R Interface to the Levenberg-Marquardt Nonlinear Least-Squares
Algorithm Found in MINPACK, Plus Support for Bounds
R package minpack.lm version 1.2-4

Derivative-Free Optimization Algorithms by Quadratic
Approximation

Encode "License-Plates" from Sequences and Decode Them Back

Multidimensional Iterative Proportional Fitting and Alternative
Models
R package mipfp version 3.2.1

An Open-Source Tool for Visualization of Climate Mitigation
Scenarios

Minimalist Async Evaluation Framework for R

Left-Censored Recurrent Events Survival Models

Measurement Invariance Assessment Using Random Effects Models
and Shrinkage
R package MIRES version 0.1.0

Microbiome Regression-Based Kernel Association Tests

Genome-Wide Discovery of Pre-miRNAs with few Labeled Examples

Computerized Adaptive Testing with Multidimensional Item
Response Theory
R package mirtCAT version 1.14

Joint Maximum Likelihood Estimation for High-Dimensional Item
Factor Analysis
R package mirtjml version 1.4.0

SVD-Based Estimation for Exploratory Item Factor Analysis

Linear Regression and Logistic Regression with Missing
Covariates

Miscellaneous Useful Functions Including LaTeX Tables, Kalman
Filtering, QQplots with Simulation-Based Confidence Intervals,
Linear Regression Diagnostics and Development Tools
R package miscFuncs version 1.5-9

Misclassified Interval Censored Time-to-Event Data

Computation of Generalized Linear Models with Misclassified
Covariates Using Side Information
R package misclassGLM version 0.3.5

Miscellaneous Functions for Metabarcoding Analysis

Variable Selection for Multiply Imputed Data

Multiple Imputation with Sequential Penalized Regression

Partial Replacement Imputation Estimation for Missing Covariates

Microbiome Based Sum of Powered Score (MiSPU) Tests

Ensemble Conditional Trees for Missing Data Imputation