MyNixOS website logo
categories

development

Showing entries 40901-41000 out of 55134.
Spatial Resampling Infrastructure
Spatial Analysis of Vectra Immunoflourescent Data
Tools for Spatial Data Analysis
Spatial Variable Selection
Spatial Forecast Verification
Spatial Early Warning Signals of Ecosystem Degradation
Formats Spatial Data for Use in Htmlwidgets
Regularized Spatial Maximum Covariance Analysis
Topic Inference to Identify Tissue Architecture in Multiplexed Images
Regularized Principal Component Analysis for Spatial Data
Inference for Spatiotemporal Partially Observed Markov Processes
r-SpATSNix package
Spatial Analysis of Field Trials with Splines
Group Animal Relocation Data by Spatial and Temporal Relationship
Spatial Point Pattern Analysis, Model-Fitting, Simulation, Tests
Bayesian Spatial Survival Analysis with Parametric Proportional Hazards Models
r-SPBNix package
Simple Progress Bars for Procedural Coding
Convert Spatial Data Using Tidy Tables
r-spbalNix package
Spatially Balanced Sampling Algorithms
Univariate and Multivariate Spatial-Temporal Modeling
Bayesian Modeling and Analysis of Spatially Correlated Survival Data
r-spBFANix package
Spatial Bayesian Factor Analysis
r-spBPSNix package
Bayesian Predictive Stacking for Scalable Geospatial Transfer Learning
Spatially Balanced Sampling
r-spcNix package
Statistical Process Control -- Calculation of ARL and Other Control Chart Performance Measures
Statistical Process Control for Stochastic Textured Surfaces
Functions for Calibrating Control Charts
A New Reduced-Rank Linear Discriminant Analysis Method
Sparse Principal Component Analysis via Random Projections (SPCAvRP)
Design and Analyze Studies using the Sequential Parallel Comparison Design
Compute Power or Sample Size for GWAS with Covariate Effect
Computing Scales of Spatial Smoothing for Confounding Adjustment
r-spcovNix package
Sparse Estimation of a Covariance Matrix
r-spCPNix package
Spatially Varying Change Points
r-spcrNix package
Sparse Principal Component Regression
r-spdNix package
Semi Parametric Distribution
Datasets for Spatial Analysis
Analysis of Spatial Gradients in Radiocarbon Dates
r-spdepNix package
Spatial Dependence: Weighting Schemes, Statistics
Designing Stated Preference Experiments
r-spdlNix package
Easier Use of 'RcppSpdlog' Functions via Wrapper
Spatial Downscaling Using Bias Correction Approach
Split-Population Duration (Cure) Regression
Spatio-Dynamic Wetland Plant Communities Model
r-speNix package
Fast and Robust Multi-Scale Graph Clustering
A Wrapper for the Phonetic Software 'Praat'
r-speaqNix package
Tools for Nuclear Magnetic Resonance (NMR) Spectra Alignment, Peak Based Processing, Quantitative …
Jackknife Euclidean / Empirical Likelihood Inference for Spearman's Rho
r-specNix package
A Data Specification Format and Interface
Easy, Fast, and Pretty Specification Curve Analysis
Change Points Detection with Spectral Clustering
Spectroscopy Related Utilities
Statistical Package for Species Richness Estimation
The Species Chromatogram
r-SPECKNix package
Receptor Abundance Estimation using Reduced Rank Reconstruction and Clustered Thresholding
Reduction of Speckle Data from BTA 6-m Telescope
r-specLNix package
r-specrNix package
Conducting and Visualizing Specification Curve Analyses
r-specsNix package
Single-Equation Penalized Error-Correction Selector (SPECS)
Forecast Verification Routines for Ensemble Forecasts of Weather and Climate
r-spectNix package
Survival Prediction Ensemble Classification Tool
Storing, Manipulating and Analysis Spectroscopy and Associated Data
Interface to the 'Spectator Earth' API
Calculate the Periodogram of a Time-Course
Common Methods of Spectral Data Analysis
Pre-Process, Visualize and Analyse Spectral Data
Detect Anomalies Using the Spectral Residual Algorithm
Spectral Clustering for Mixed Type Data
Approximate Gaussian Processes Using the Fourier Basis
Learning Graphs from Data via Spectral Constraints
Diffusion Map and Spectral Map
Obtain and Visualize Spectral Reflectance Data for Earth Surface Polygons
Visual and Non-Visual Spectral Analysis of Light
Predict Regional Community Composition