Showing entries 16201-16300 out of 52586.
Bifactor Indices Calculator
Tools for Survey Statistics in Educational Assessment
Bifurcating Autoregressive Models
'BLAS' and 'LAPACK' Routines for Native R Matrices and 'big.matrix' Objects
Utilities for 'big.matrix' Objects from Package 'bigmemory'
Assertion and Message Functions
Read, Write, Manipulate, Explore Chess PGN Files and R API to UCI Chess Engines
Distances for Machine Learning and Statistics in the Context of Big Data
Fit, Simulate, and Diagnose Hierarchical Exponential-Family Models for Big Networks
Extending Lasso Model Fitting to Big Data
Making Optimal Matching Size-Scalable Using Optimal Calipers
Manage Massive Matrices with Shared Memory and Memory-Mapped Files
Easy Parallel Tools
Read Large Text Files
An Interface to Google's 'BigQuery' 'API'
An Interface to Google's 'BigQuery Storage' API
Sparse Matrix Format with Data on Disk
Smoothing Splines for Large Samples
Statistical Tools for Filebacked Big Matrices
Big Survival Analysis Using Stochastic Gradient Descent
Table, Apply, and Split Functionality for Matrix and 'big.matrix' Objects
Utility Functions for Large-scale Data
Bay Area Bike Share Trips in 2014
Co-Clustering Adjusted Rand Index and Bikm1 Procedure for Contingency and Binary Data-Sets
Contains Data of Billboard Hot 100 Songs
Create Interactive Chart with the JavaScript 'Billboard' Library
The Bimodality Index
API Client to 'Binance'
Binarization of One-Dimensional Data
Threshold Cut Point of Probability for a Binary Classifier Model
Creates, Merges, and Reads Binary Dosage Files
Variable Selection for Binary Data Using the EM Algorithm
Mean and Scale-Factor Modeling of Under-
Fit and Predict a Gaussian Process Model with (Time-Series) Binary Response
Flexible Marginalized Models for Binary Correlated Outcomes
An 'Rcpp' Interface to Active Bindings
Methods for Analyzing Binned Income Data
Estimates Parameters of Functions Driving Binomial Random Variables
Get Bing Ads Data via the 'Windsor.ai' API
Evaluation and Experimental Design for Binomial Group Testing
Identification and Estimation using Group Testing
Processes Binary Data Obtained from Fragment Analysis (Such as AFLPs, ISSRs, and RFLPs)
Data Generation with Binary and Continuous Non-Normal Components
Binomial Random Forest Feature Selection