Software
- : integration of brain tumor segmentation and GBM tumor impact on the WM integrity
- : Functional Hybrid Factor Regression Model
- : Keras implementation of the Graph-based joint model with Nonignorable Missingness (GNM)
- : Low-rank Linear Regression Model
- : Bayesian Scalar on Image Regression with Non-ignorable Non-response
- : Statistical Disease Mapping
- : Generalized Functional Partial Linear Varying-Coefficient Model for asynchronous longitudinal data
- : A Decomposition-based Canonical Correlation Analysis for High-dimensional Datasets
- : Spatially Varying Coefficient Model, for association between massive imaging data and a set of covariates of interest
- : Functional Structural Equation Models for Twin Functional Data
- : simultaneously characterize a large number of white matter bundles within and across different subjects for group analysis []
- : Monotone Nonparametric Regression for Functional/Longitudinal Data
- : Spatial Multi-category Angle-based Classifier
- : Multiple-Index Latent Factor Model for clinical outcome prediction based on massive features
- : Spatial Statistical Parametric Mapping (includes MAGEE, FADTTS and FMPM)
- : analysis of secondary phenotypes collected in multiple group association studies
- : Functional Genome Wide Association analysiS for imaging genetic analysis
- : Tensor Partition Regression Models with applications in imaging biomarker detection
- : association testing between the multivariate shape measurements and demographic/clinical variables []
- L2R2:Â Bayesian longitudinal low-rank regression models for imaging genetic data from longitudinal studies []
- : estimate the spatial additive genetic, common environmental, and unique environmental model for cortical surface data
- : Bayesian Row-rank Graph Regression Models for matrix response data
- : Multiscale Weighted Principal Component Regression
- BCor-SIS: Ball Correlation Sure Independence Screening
- RMRSS:Â Regression Models on Riemannian Symmetric Spaces
- SCD: Perturbation and Scaled Cook’s Distance
- SSEM:Â Bayesian Lasso for Semiparametric Structural Equation Models Toolkit
- HECD: Pipeline for H&E image preprocessing and cell detection
- MARM: DTI-Statistics “multiscale adaptive regression model (MARM)” Toolkit
- MAGEE-SSPM:Â Multiscale Adaptive Generalized Estimating Equation – Spatial Statistical Parametric Mapping
- GENV:Â Groupwise Envelope model
- GHMM:Â Diseased Region Detection of Longitudinal Knee Magnetic Resonance Imaging Data
- FVGWAS:Â Fast Voxelwise Genome Wide Association Analysis
- LocalSPD: Local Polynomial Regression for Symmetric Positive Definite Matrices
- FADTTS: DTI-Statistics functional analysis pipeline Toolkit
- VCDF:Â Varying Coefficient Model For Modeling Diffusion Tensors Along White Matter Tracts
- SCALNET: Scalable network estimation with L0 penalty for ultra-large Gaussian graphical models
- MONFP:Â Clustering High-Dimensional Landmark-Based Two-Dimensional Shape Data
- FMPM:Â Functional Mixed Processes Models
- FRESMEM:Â Fixed and Random Effects Selection in Mixed Effects Toolkit
- FRATS:Â Functional Regression Analysis of DTI Tract Statistics
- PRM-MIP:Â Projection Regression Models for Multivariate Imaging Phenotype
Software Agreement:
THE SOFTWARE PACKAGES ARE PROVIDED “AS IS”, AND ONLY FORÂ NON-PROFIT USE. CURRENTLY THERE IS NO FORMAL SUPPORT ON IT; FURTHERÂ ASSISTANCE BY THE AUTHORS REGARDING APPLICATION OF THIS SOFTWARE WILL NOTÂ BE PROVIDED, IN GENERAL. IN NO EVENT SHALL THE AUTHORS BE LIABLE FOR ANYÂ DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGESÂ (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS ORÂ SERVICES; LOSS OF USE, DATA ETC.) CAUSED AND ON ANY THEORY OF LIABILITYÂ ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWAREÂ PACKAGE.