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Showing entries 35001-35100 out of 55134.
r-ppmfNix package
Read Census Privacy Protected Microdata Files
r-ppmHRNix package
Privacy-Protecting Hazard Ratio Estimation in Distributed Data Networks
Copula-Based Estimator for Long-Range Dependent Processes under Missing Data
Point Process Models with LASSO-Type Penalties
r-PPMRNix package
Probabilistic Two Sample Mendelian Randomization
A Collection of Models that Employ Product Partition Distributions as a Prior on Partitions
Process Performance Qualification (PPQ) Plans in Chemistry, Manufacturing and Controls (CMC) Stati…
Classification of Algorithms
r-ppRepNix package
Analysis of Replication Studies using Power Priors
r-PPRLNix package
Privacy Preserving Record Linkage
r-pprofNix package
Modeling, Standardization and Testing for Provider Profiling
r-ppsNix package
PPS Sampling
r-ppsbmNix package
Clustering in Longitudinal Networks
r-ppseqNix package
Design Clinical Trials using Sequential Predictive Probability Monitoring
r-PPSFSNix package
Partial Profile Score Feature Selection in High-Dimensional Generalized Linear Interaction Models
r-ppsrNix package
Predictive Power Score
Projected Polya Tree for Circular Data
Projection Pursuit Regression Tree Visualization
Projection Pursuit Classification Tree Visualization
Web tool for estimating under-five deaths caused by poor-quality antimalarials in sub-Saharan Afri…
r-pqlNix package
A Partitioned Quasi-Likelihood for Distributed Statistical Inference
Efficient Mixed Model Analysis of Count Data in Large-Scale Genomic Sequencing Studies
Bayesian Penalized Quantile Regression
r-pqrfeNix package
Penalized Quantile Regression with Fixed Effects
A Collection of Proteome Panels and Meta-Data
r-PRANix package
Project Risk Analysis
Functions for Clustering and Testing of Presence-Absence, Abundance and Multilocus Genetic Data
Practical Numerical Math Functions
Practical 'R' Packaging in 'Docker'
Design of Practical Equivalence Trials
Practical Significance Ranking of Regressors and Exact t Density
Designing and Weighting Survey Samples
r-pradaNix package
r-praisNix package
Prais-Winsten Estimator for AR(1)
Praise Users
r-pramNix package
r-PRANANix package
Pseudo-Value Regression Approach for Network Analysis (PRANA)
Tools for Information-Based Feature Selection and Scoring
Testing Workbench for Precision-Recall Curves
Penalized Regression-Based Clustering Method
r-prcrNix package
Person-Centered Analysis
r-PRDANix package
Conduct a Prospective or Retrospective Design Analysis
r-preNix package
Prediction Rule Ensembles
r-prebsNix package
Embedding and Clustering with Alignment for Spatial Datasets
Precipitation Intensity, Concentration and Anomaly Analysis
Precipitation R Recipes
Estimate Sample Size Based on Precision Rather than Power
Suite of Functions to Help Get Plot Elements Exactly Where You Want Them
Accurate Floating Point Sums and Products
Precision Medicine
Pre-Commit Hooks
Lightweight Precondition, Postcondition, and Sanity Checks
Calculate Accurate Precision-Recall and ROC (Receiver Operator Characteristics)
r-PREDANix package
Computational Prediction of Proteins Encoded by Circadian Genes
Discrimination Mitigation for Machine Learning Models
Genomic Prediction of Hybrid Performance
Draw Three Dimensional Predict Plot Using Package 'rgl'
Assessment of Risk Prediction Models
Tidy, Type-Safe 'prediction()' Methods
Prediction Interval Functions for Assessing Replication Study Results
Prediction for Future Data from any Continuous Distribution
Visualize Individual Prediction Performance
Predicted Means for Linear and Semiparametric Models
Evaluate Clinical Prediction Models by Net Monetary Benefit
Predictive Data Analysis System
Out-of-Sample Predictability in Predictive Regressions with Many Predictor Candidates
Predict the Race and Gender of a Given Name Using Census and Social Security Administration Data
Spatial Prediction Tools
Assessing Performance of Prediction Models for Predicting Patient-Level Treatment Benefit
Prediction Intervals
Covariate Adaptive Clustering
Predictive Approaches in Psychology
Estimates Reliability of Individual Supervised Learning Predictions
Prediction Model Validation and Updating
Preparing Data For, and Calculating the Prediction Test
Prediction Model Tools
Time Series Prediction Tools
r-prefNix package
Preference Voting with Explanatory Graphics
R Package for Pairwise Preference Elicitation
A 'pkgdown' Template
2-Stage Preference Trial Design and Analysis
Structures for Preference Data
Utilities to Fit Paired Comparison Models for Preferences
Pre-Knitting Processing and Post HTML-Rendering Processing
Dirichlet Process Bayesian Clustering, Profile Regression