development

Micro-RNA Quality Control and Diagnosis

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

'MicroRNA' Set Enrichment Analysis

Multidimensional Item Response Theory

Computerized Adaptive Testing with Multidimensional Item Response Theory

Combined miRNA- And mRNA-Testing

Joint Maximum Likelihood Estimation for High-Dimensional Item Factor Analysis

SVD-Based Estimation for Exploratory Item Factor Analysis

Linear Regression and Logistic Regression with Missing Covariates

Miscellaneous 3D Plots

Miscellaneous Functions

Miscellaneous Useful Functions Including LaTeX Tables, Kalman Filtering, QQplots with Simulation-B…

Misclassified Interval Censored Time-to-Event Data

Computation of Generalized Linear Models with Misclassified Covariates Using Side Information

Miscellaneous Functions for Metabarcoding Analysis

Miscellaneous Tools Set

Miscellaneous Tools and Utilities

Variable Selection for Multiply Imputed Data

Missing Person Identification Tools

Multiple Imputation with Sequential Penalized Regression

Partial Replacement Imputation Estimation for Missing Covariates

Microbiome Based Sum of Powered Score (MiSPU) Tests

Misreported Time Series Analysis

Statistical Analysis of Misreporting on Sensitive Survey Questions

Ensemble Conditional Trees for Missing Data Imputation

Intuitive Missing Data Imputation Framework

Change Point Detection with Missing Values

Simulating and Analyzing Time to Event Data in the Presence of Population Mortality

Comparing Observed and Imputed Values under MAR and MCAR

Nonparametric Missing Value Imputation using Random Forest

Missing Value Imputation using Random Forest for Prediction Settings

Handles Missing Dates and Data and Converts into Weekly and Monthly from Daily

Missing Outcome Data in Health Economic Evaluation

Missing Plot in LSD

Missing Plot in RBD

Handling Missing Values with Multivariate Data Analysis

Testing Homoscedasticity, Multivariate Normality, and Missing Completely at Random

Methods for Missing Data

Missingness in Multi-Task Regression with Network Estimation

Missing Value Imputation in Parallel

Missing Plot Technique in Design of Experiment

Fast Imputation of Missing Values

Handling Missing Data in Stochastic Block Models

Self-Organizing Maps with Built-in Missing Data Imputation

Data Sets, Functions and Examples from the Book: "Modern Industrial Statistics" by Kenett, Zacks a…

Mixture and Composite Distributions

Methods in Structural Reliability

Access the Michigan Substance Use Vulnerability Index (MI-SUVI)

Tools for Multiple Imputation in Multilevel Modeling

Quantification of Mitochondrial DNA Heteroplasmy

Tools for Multiple Imputation of Missing Data

Cybersecurity MITRE Standards Data and Digraphs

Mittag-Leffler Family of Distributions

Multiple Imputation Using Weighted Quantile Sum Regression

Estimation/Multiple Imputation for Mixed Categorical and Continuous Data

Multivariate Normal Mixture Models and Mixtures of Generalized Linear Mixed Models Including Model…

Clustering and Classification using Model-Based Mixture Models

Mixture Autoregressive Models

Observed Fisher Information Matrix for Finite Mixture Model

Mixed Effects Cumulative Link and Logistic Regression Models

Mixture Model for the Deconvolution of Thermal Decay Curves

Mixture Cure Models

Cluster High Dimensional Categorical Datasets

Finite Mixture Distribution Models

Bayesian Longitudinal Regularized Quantile Mixed Model

Sparse Canonical Correlation Analysis for High-Dimensional Mixed Data

Tests of Randomness and Tests of Independence

Mixed Level Response Surface Designs

Mixed, Low-Rank, and Sparse Multivariate Regression on High-Dimensional Data

Tools for Discrete Multivariate Mixed Membership Models

Mixed Poisson Models

Statistical Tools for the Analysis of Psychophysical Data

Estimation Methods for Stochastic Differential Mixed Effects Models

Mixed Tempered Stable Distribution

Design and Analysis of Mixture Experiments

Evaluation of the FIM in NLMEMs using MCMC

Mixture fMRI Clustering Analysis

Multiple Imputation Through 'XGBoost'

Model Based Clustering, Classification and Discriminant Analysis Using the Mixture of Generalized …

Mixture of Multiple Highly Variable Feature Selection Methods