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Showing entries 39101-39200 out of 55521.
Small Area Estimation Non-Parametric Based Nadaraya-Watson Kernel
r-saeMENix package
Small Area Estimation with Measurement Error
Stochastic Approximation Expectation Maximization (SAEM)
Computing MSPE Estimates in Small Area Estimation
r-saensNix package
Small Area Estimation with Cluster Information for Estimation of Non-Sampled Areas
Small Area Estimation using Averaging Pseudo Area Level Model
Robust Small Area Estimation
r-saeryNix package
Small Area Estimation for Rao and Yu Model
Simulation Tools for Small Area Estimation
Transformations for Unit-Level Small Area Models
Small Area Estimation Evaluation
Shape Analysis for AI-Reconstructed Images
r-SAFDNix package
Statistical Analysis of Fuzzy Data
r-safeNix package
Interface to Data from the SAFE Project
Generic Data Tagging and Validation Tool
Perform "Safe" Table Joins
A Novel SAFE Model for Predicting Climate-Related Extreme Losses
r-saferNix package
Encrypt and Decrypt Strings, R Objects and Files
Safe Anytime-Valid Inference
Safetensors File Format
Charts for Monitoring Clinical Trial Safety
Clinical Trial Data
Interactive Graphics for Monitoring Clinical Trial Safety
Election Vote Counting with Safety Features
r-sageRNix package
Applied Statistics for Economics and Management with R
r-SAGMNix package
Spatial Autoregressive Graphical Model
r-SAGMMNix package
Clustering via Stochastic Approximation and Gaussian Mixture Models
r-SAGxNix package
r-sahpmNix package
Variable Selection using Simulated Annealing
r-sAICNix package
Akaike Information Criterion for Sparse Estimation
r-sailNix package
An Extension of the Taylor Diagram to Two-Dimensional Vector Data
r-SAiVENix package
Functions Used for SAiVE Group Research, Collaborations, and Publications
A National Labor Force Survey of Indonesia
Extension to R Serialization
r-saladNix package
Simple Automatic Differentiation
r-salbmNix package
r-salemNix package
r-SALESNix package
The (Adaptive) Elastic Net and Lasso Penalized Sparse Asymmetric Least Squares (SALES) and
An Implementation of 'Salesforce' APIs Using Tidy Principles
r-salsoNix package
Search Algorithms and Loss Functions for Bayesian Clustering
Efficient Sampling on the Simplex
r-saltyNix package
Turn Clean Data into Messy Data
r-SAMNix package
Sparse Additive Modelling
South Africa Macroeconomic Database API
r-SAMBANix package
Selection and Misclassification Bias Adjustment for Logistic Regression Models
A Collection of Techniques Correcting for Sample Selection Bias
r-samcNix package
Spatial Absorbing Markov Chains
r-SAMENix package
Seamless Adaptive Multi-Arm Multi-Stage Enrichment
Compare Similarity Across Text, Factors, or Numbers
A Semi-Supervised Method for Prediction of Phenotype Event Times
r-SAMMNix package
Some Algorithms for Mixed Models
r-samonNix package
Sensitivity Analysis for Missing Data
Evaluating Geographic Sampling Bias in Biological Collections
Comparing and Visualizing Differences Between Surveys
A Collection of Sample Datasets
Sample Design, Drawing & Data Analysis Using Data Frames
Sample Selection Models
Sample Size Calculation for Various t-Tests and Wilcoxon-Test
Sample Size Calculation for the Comparison of Means or Proportions in Phase III Clinical Trials
Sample Size Calculations for Complex Surveys
Power and Sample Size Calculation for the Cochran-Mantel-Haenszel Test
Choosing Sample Size for Evaluating a Diagnostic Test
Sample Size and Power Calculations for Case-Control Studies
Sample Size Calculations for Normal Means
Calculating Sample Size Requirements when Estimating the Difference Between Two Binomial Proportio…
Calculate Sample Size for Single-Arm Survival Studies
Draw Stratified Samples from the VADIR Database
Generate Samples with a Variety of Probability Distributions
Survey Sampling
Sampling Methods for Big Data
Survey Sampling Procedures
Sampling Data Within Different Study Designs for Cluster Randomized Trials
Dynamic Survey Sampling Solutions
Sampling and Estimation Methods
Optimal Stratification of Sampling Frames for Multipurpose Sampling Surveys
Sampling Variance Estimation
Compare Human Performance to Sampling Algorithms