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Showing entries 30601-30700 out of 55134.
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
r-missrNix package
Classify Missing Data as MCAR, MAR, or MNAR
Fast Imputation of Missing Values
Handling Missing Data in Stochastic Block Models
Self-Organizing Maps with Built-in Missing Data Imputation
r-mistNix package
r-MiSTNix package
Data Sets, Functions and Examples from the Book: "Modern Industrial Statistics" by Kenett, Zacks a…
r-mistrNix package
Mixture and Composite Distributions
Methods in Structural Reliability
r-mistyNix package
Access the Michigan Substance Use Vulnerability Index (MI-SUVI)
r-mitchNix package
r-mitmlNix package
Tools for Multiple Imputation in Multilevel Modeling
Quantification of Mitochondrial DNA Heteroplasmy
Tools for Multiple Imputation of Missing Data
r-mitreNix package
Cybersecurity MITRE Standards Data and Digraphs
Mittag-Leffler Family of Distributions
r-miWQSNix package
Multiple Imputation Using Weighted Quantile Sum Regression
r-mixNix package
Estimation/Multiple Imputation for Mixed Categorical and Continuous Data
r-mixAKNix package
Multivariate Normal Mixture Models and Mixtures of Generalized Linear Mixed Models Including Model…
Clustering and Classification using Model-Based Mixture Models
r-mixARNix package
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
Bias Diagnostic for Linear Mixed Models
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
r-mixgbNix package
Multiple Imputation Through 'XGBoost'
Model Based Clustering, Classification and Discriminant Analysis Using the Mixture of Generalized …
Mixture of Multiple Highly Variable Feature Selection Methods
Genetics and Independence Testing of Mixed Genetic Panels
Omics Data Integration Using Kernel Methods
r-mixlNix package
Simulated Maximum Likelihood Estimation of Mixed Logit Models for Large Datasets
Mixture of Longitudinal Factor Analysis Methods
r-mixlmNix package
Mixed Model ANOVA and Statistics for Education
Classification with Matrix Variate Normal and t Distributions
An Extended Mixed-Effects Framework for Meta-Analysis
Design and Analysis of Order-of-Addition Mixture Experiments
Mixed Variable Optimization
Mixture Optimization Algorithm
Mixtures of Proportional Hazard Models
Mixed Poisson Regression for Overdispersed Count Data
r-mixRNix package
Finite Mixture Modeling for Raw and Binned Data
Plotting and Average Theta Functions for Multiple Class Mixed Rasch Models
r-MixRFNix package
A Random-Forest-Based Approach for Imputing Clustered Incomplete Data
Mixtures of Multivariate Shifted Asymmetric Laplace (SAL) Distributions
Mixture Models: Parametric, Semiparametric, and Robust
Bayesian Mixing Models in R
Simulating Data to Study Performance of Clustering Algorithms
Fitting Finite Mixture of Scale Mixture of Skew-Normal Distributions
Mixtures of Power Exponential and Skew Power Exponential Distributions for Use in Model-Based Clus…
Sequential Quadratic Programming for Fast Maximum-Likelihood Estimation of Mixture Proportions
Clustering Using Mixtures of Sub Gaussian Stable Distributions
Tools for Analyzing Finite Mixture Models
Dose Response Curve Fitting and Mixture Toxicity Assessment
A Statistical Framework for Comparing Sets of Trees
Modelling Continuous Report Visual Short-Term Memory Studies
Mixture Models for Clustering and Classification
Fitting of Univariate Mixture Distributions to Data using Various Approaches