Sequential Multiple Assignment Randomized Trial Design

Tools for Accessing Various Datasets Developed by the Foundation
SmarterPoland.pl

R package SmartMeterAnalytics version 1.0.3

Sample Size for SMART Designs in Non-Surgical Periodontal Trials

Access and Write 'Smartsheet' Data using the 'Smartsheet' API
2.0

Fast Multivariate Analyses of Big Genomic Data

Fast and Robust Surrogate Variable Analysis

(Standardised) Major Axis Estimation and Testing Routines

Sparse Multiple Canonical Correlation Network Analysis Tool

Multiple Imputation of Covariates by Substantive Model
Compatible Fully Conditional Specification
R package smcfcs version 1.7.1

Data Sets for Statistical Methods in Customer Relationship
Management by Kumar and Petersen (2012)
R package SMCRM version 0.0-3

Data to Accompany Smithson & Merkle, 2013

Perform Structural Missing Data Investigations

Identification of Somatic Mutation-Driven Immune Cells

Build 'Docker Images' in 'Amazon SageMaker Studio' using 'Amazon
Web Service CodeBuild'
R package smdocker version 0.1.4

Filtering Algorithms for the State Space Models on the Stiefel
Manifold

Hidden Markov Random Field for Spatial Transcriptomic Data

Stochastic Modelling for Systems Biology

Statistical Methods for Interval-Censored Data

Statistical Modelling for Infectious Disease Management

Provides two taxonomic coefficients from E. S. Smirnov
"Taxonomic analysis" (1969) book
R package smirnov version 1.0-1

Data Structure and Manipulations Tool for Host and Viral
Population

Visualize Data for Host and Viral Population from 'SMITIDstruct'
using 'HTMLwidgets'
R package SMITIDvisu version 0.0.9

Generation and Tracking of Super-Resolution Filamentous Datasets

Outlier Detection Using Statistical and Machine Learning Methods

Simulation and Estimation of Multi-State Discrete-Time
Semi-Markov and Markov Models
R package SMM version 1.0.2

Soft Maximin Estimation for Large Scale Array-Tensor Models

Soft Maximin Estimation for Large Scale Heterogeneous Data

Simulation, Estimation and Reliability of Semi-Markov Models