Topic: "variable-selection"
avehtari/modelselection
Case studies on model assessment, model selection and inference after model selection
Language: HTML - Size: 54.9 MB - Last synced at: about 2 months ago - Pushed at: over 1 year ago - Stars: 171 - Forks: 36
majianthu/pycopent
Estimating Copula Entropy (Mutual Information), Transfer Entropy (Conditional Mutual Information), and the statistics for multivariate normality test and two-sample test, and change point detection in Python
Language: Python - Size: 1.42 MB - Last synced at: about 1 month ago - Pushed at: 8 months ago - Stars: 161 - Forks: 33
Sundar0989/WOE-and-IV
Language: Jupyter Notebook - Size: 361 KB - Last synced at: over 1 year ago - Pushed at: over 6 years ago - Stars: 136 - Forks: 97
stan-dev/projpred
Projection predictive variable selection
Language: R - Size: 24 MB - Last synced at: about 3 hours ago - Pushed at: 9 days ago - Stars: 112 - Forks: 27
HannaMeyer/CAST
Developer Version of the R package CAST: Caret Applications for Spatio-Temporal models
Language: R - Size: 77.4 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 112 - Forks: 29
boost-R/mboost
Boosting algorithms for fitting generalized linear, additive and interaction models to potentially high-dimensional data. The current relase version can be found on CRAN (http://cran.r-project.org/package=mboost).
Language: HTML - Size: 10.7 MB - Last synced at: 7 days ago - Pushed at: 6 months ago - Stars: 74 - Forks: 25
merliseclyde/BAS
BAS R package for Bayesian Model Averaging and Variable Selection
Language: R - Size: 149 MB - Last synced at: 25 days ago - Pushed at: 25 days ago - Stars: 44 - Forks: 16
majianthu/copent
R package for estimating copula entropy (mutual information), transfer entropy (conditional mutual information), and the statistic for multivariate normality test and two-sample test
Language: R - Size: 96.7 KB - Last synced at: 15 days ago - Pushed at: 11 months ago - Stars: 42 - Forks: 10
ELToulemonde/dataPreparation
Data preparation for data science projects.
Language: R - Size: 5.18 MB - Last synced at: 22 days ago - Pushed at: almost 2 years ago - Stars: 31 - Forks: 10
kstawiski/OmicSelector
OmicSelector - Environment, docker-based application and R package for biomarker signiture selection (feature selection) & deep learning diagnostic tool development from high-throughput high-throughput omics experiments and other multidimensional datasets. Initially developed for miRNA-seq, RNA-seq and qPCR.
Language: R - Size: 54.5 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 30 - Forks: 3
boost-R/gamboostLSS
Boosting models for fitting generalized additive models for location, shape and scale (GAMLSS) to potentially high dimensional data. The current relase version can be found on CRAN (https://cran.r-project.org/package=gamboostLSS).
Language: R - Size: 6.92 MB - Last synced at: 7 days ago - Pushed at: 3 months ago - Stars: 26 - Forks: 12
jaredhuling/oem
Penalized least squares estimation using the Orthogonalizing EM (OEM) algorithm
Language: C++ - Size: 8.46 MB - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 26 - Forks: 6
hofnerb/stabs
Stability Selection with Error Control
Language: R - Size: 820 KB - Last synced at: about 1 month ago - Pushed at: over 4 years ago - Stars: 26 - Forks: 9
Sundar0989/Variable-Selection-Using-Python
Language: Jupyter Notebook - Size: 47.9 KB - Last synced at: over 1 year ago - Pushed at: over 5 years ago - Stars: 26 - Forks: 25
ConsBiol-unibern/SDMtune
Performs Variables selection and model tuning for Species Distribution Models (SDMs). It provides also several utilities to display results.
Language: R - Size: 204 MB - Last synced at: 24 days ago - Pushed at: 5 months ago - Stars: 25 - Forks: 9
theochem/Selector
Python library of algorithms for selecting diverse subsets of data for machine-learning. Webserver is hosted at https://huggingface.co/spaces/QCDevs/Selector.
Language: Jupyter Notebook - Size: 24 MB - Last synced at: about 1 month ago - Pushed at: 3 months ago - Stars: 22 - Forks: 22
joshloyal/sliced
sliced: scikit-learn compatible sufficient dimension reduction
Language: Python - Size: 3.9 MB - Last synced at: 14 days ago - Pushed at: 10 months ago - Stars: 21 - Forks: 10
lcrawlab/BANNs
Code and simulations using biologically annotated neural networks
Language: HTML - Size: 22 MB - Last synced at: over 1 year ago - Pushed at: over 3 years ago - Stars: 20 - Forks: 3
boost-R/FDboost
Boosting Functional Regression Models. The current release version can be found on CRAN (http://cran.r-project.org/package=FDboost).
Language: R - Size: 9.36 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 19 - Forks: 7
Mamba413/bess
Best Subset Selection algorithm for Regression, Classification, Count, Survival analysis
Language: C++ - Size: 20.7 MB - Last synced at: 29 days ago - Pushed at: about 4 years ago - Stars: 17 - Forks: 2
lorinanthony/RATE
Code for Variable Selection in Black Box Methods with RelATive cEntrality (RATE) Measures
Language: Jupyter Notebook - Size: 20.7 MB - Last synced at: about 2 years ago - Pushed at: over 4 years ago - Stars: 17 - Forks: 4
majianthu/aps2020
Code for the paper 'Variable Selection with Copula Entropy' published on Chinese Journal of Applied Probability and Statistics
Language: R - Size: 86.9 KB - Last synced at: about 2 years ago - Pushed at: about 3 years ago - Stars: 14 - Forks: 3
nanxstats/msaenet
🧲 Multi-step adaptive estimation for reducing false positive selection in sparse regressions
Language: R - Size: 13.5 MB - Last synced at: 4 days ago - Pushed at: 10 months ago - Stars: 13 - Forks: 7
meowoodie/Regularized-RBM
A regularized version of RBM for unsupervised feature selection.
Language: Python - Size: 1.59 MB - Last synced at: about 2 years ago - Pushed at: over 5 years ago - Stars: 13 - Forks: 2
lorinanthony/BAKR
Code and Simulations using Bayesian Approximate Kernel Regression (BAKR)
Language: C++ - Size: 4.22 MB - Last synced at: over 1 year ago - Pushed at: over 6 years ago - Stars: 10 - Forks: 3
hruffieux/locus
locus R package - Large-scale variational inference for variable selection in sparse multiple-response regression
Language: R - Size: 1.03 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 9 - Forks: 2
slipguru/l1l2py
l1l2py is a Python package to perform variable selection by means of l1l2 regularization with double optimization.
Language: Python - Size: 3.58 MB - Last synced at: 16 days ago - Pushed at: over 7 years ago - Stars: 9 - Forks: 3
biona001/GhostKnockoffGWAS
Knockoff-based analysis of GWAS summary statistics data
Language: Julia - Size: 12.7 MB - Last synced at: 6 days ago - Pushed at: 6 days ago - Stars: 8 - Forks: 1
lcrawlab/SINATRA
A statistical framework for feature selection and association mapping with 3D shapes
Language: R - Size: 547 KB - Last synced at: about 1 year ago - Pushed at: over 1 year ago - Stars: 8 - Forks: 4
biona001/Knockoffs.jl
Variable Selection with Knockoffs
Language: Julia - Size: 13.2 MB - Last synced at: about 14 hours ago - Pushed at: about 15 hours ago - Stars: 7 - Forks: 0
JacobSeedorff21/BranchGLM
Efficient Variable Selection for GLMs in R
Language: R - Size: 4.71 MB - Last synced at: 8 months ago - Pushed at: 8 months ago - Stars: 7 - Forks: 2
Mamba413/cdcsis
Conditional Distance Correlation based Statistical Method
Language: C++ - Size: 172 KB - Last synced at: 29 days ago - Pushed at: 9 months ago - Stars: 7 - Forks: 2
nanxstats/OHPL
📈 Ordered Homogeneity Pursuit Lasso for Group Variable Selection
Language: R - Size: 4.01 MB - Last synced at: 4 days ago - Pushed at: 10 months ago - Stars: 7 - Forks: 1
agugonrey/MOSS
MOSS: Multi-Omic integration via Sparse Singular Decomposition
Language: R - Size: 10.3 MB - Last synced at: 7 months ago - Pushed at: over 1 year ago - Stars: 7 - Forks: 3
htpusa/scanoncorr
Sparse canonical correlation analysis
Language: MATLAB - Size: 158 KB - Last synced at: about 1 month ago - Pushed at: almost 2 years ago - Stars: 7 - Forks: 1
hruffieux/atlasqtl
atlasqtl R package - Fast global-local hotspot QTL detection
Language: R - Size: 790 KB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 6 - Forks: 2
RuzhangZhao/mixhvg
The package mixhvg uses mixture of highly variable gene selection methods to improve gene selection.
Language: R - Size: 5.37 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 5 - Forks: 1
statalasso/pdslasso
PDSLASSO: Stata module for post-selection and post-regularization OLS or IV estimation and inference
Language: Stata - Size: 1.14 MB - Last synced at: 8 months ago - Pushed at: 8 months ago - Stars: 5 - Forks: 2
jaredhuling/vennLasso
Variable selection for heterogeneous populations using the vennLasso penalty
Language: C++ - Size: 4.45 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 5 - Forks: 0
nanxstats/bcpm-msaenet
Solution for the precisionFDA Brain Cancer Predictive Modeling Challenge using msaenet
Language: R - Size: 93.8 MB - Last synced at: 4 days ago - Pushed at: over 2 years ago - Stars: 5 - Forks: 1
abhianik/dpdSIS
Robust Sure Independence Screening using the Minimum Density Power Divergence Estimators
Language: R - Size: 69.3 KB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 5 - Forks: 1
zjg540066169/BMIselect
Source Code for Paper "Bayesian MI-LASSO for variable selection on multiply-imputed data" (Arxiv: https://arxiv.org/abs/2211.00114)
Language: R - Size: 244 KB - Last synced at: 6 days ago - Pushed at: 6 days ago - Stars: 4 - Forks: 0
dmolitor/bolasso
Model consistent Lasso estimation through the bootstrap.
Language: R - Size: 6.07 MB - Last synced at: 24 days ago - Pushed at: 5 months ago - Stars: 4 - Forks: 0
Clement-W/SIRthresholded
Variable selection with Sliced Inverse Regression (SIR) thresholded
Language: R - Size: 4.72 MB - Last synced at: 10 days ago - Pushed at: 8 months ago - Stars: 4 - Forks: 0
ledoit/BMW-Pricing
Study analyzing BMW resale auction data using multiple linear regression, forward & backward variable selection, data transformation, and data validation
Language: TeX - Size: 2.06 MB - Last synced at: 5 months ago - Pushed at: 8 months ago - Stars: 4 - Forks: 2
lcrawlab/SINATRA-Pro
Topological data analytic approach for discovering biophysical signatures in protein dynamics
Language: Python - Size: 34.3 MB - Last synced at: 2 days ago - Pushed at: about 1 year ago - Stars: 4 - Forks: 1
TuoooLiu666/Applied-Biostatistics-Projects
This repository commits to the application of biostatistics knowledge on clinical, randomized trials and observational studies.
Language: HTML - Size: 900 KB - Last synced at: over 1 year ago - Pushed at: over 2 years ago - Stars: 4 - Forks: 0
ramachandran-lab/ESNN
Code and simulations using an Ensemble of Single-Effect Neural Networks (ESNN)
Language: Python - Size: 5.38 MB - Last synced at: about 1 year ago - Pushed at: over 2 years ago - Stars: 4 - Forks: 1
biometrician/abe
An R package for Augmented Backward Elimination
Language: R - Size: 277 KB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 3 - Forks: 0
PayThePizzo/Predictive-Analysis-Notes 📦
Predictive Analysis Course's notes for Computer Science B.S. at Ca' Foscari University of Venice
Language: HTML - Size: 30.5 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 3 - Forks: 0
modal-inria/MLGL
Procedure of variable selection in the context of redundancy between explanatory variables, which holds true with high dimensional data
Language: R - Size: 172 KB - Last synced at: 4 days ago - Pushed at: about 2 years ago - Stars: 3 - Forks: 1
liangyuanhu/Variable-selection-w-missing-data
A general variable selection approach in the presence of missing data in both covariates and outcomes. This approach exploits the flexibility of machine learning modeling techniques and bootstrap imputation, which is amenable to nonparametric methods in which the effect sizes of predictor variables are not naturally defined as in parametric models. Six methods are considered and compared: XGBoost, Random Forests, Conditional Random Forests, Bayesian Additive Regression Trees, lasso, stepwise backward selection.
Language: R - Size: 27.3 KB - Last synced at: almost 2 years ago - Pushed at: almost 3 years ago - Stars: 3 - Forks: 1
jkapila/vcvn
R package for Variable Selection, Curve Fitting, Variable Conversion and Normalisation
Language: R - Size: 23.4 KB - Last synced at: about 2 months ago - Pushed at: over 7 years ago - Stars: 3 - Forks: 0
georgiosseitidis/ssifs
Stochastic Search Inconsistency Factor Selection
Language: R - Size: 11.6 MB - Last synced at: 4 days ago - Pushed at: about 2 months ago - Stars: 2 - Forks: 1
alberto-santini/min-knapsack-with-compactness
Algorithms for the min-Knapsack problem with compactness constraints.
Language: C++ - Size: 1.81 MB - Last synced at: about 1 month ago - Pushed at: over 1 year ago - Stars: 2 - Forks: 0
lingfeiwang/lassopv
Nonparametric P-Value Estimation for Predictors in Lasso
Language: R - Size: 21.5 KB - Last synced at: 16 days ago - Pushed at: over 2 years ago - Stars: 2 - Forks: 1
Ali-Mahzarnia/MFSGrp-class2
R package: Computes the solution path of the multivariate Scalar-on-Functional Elastic Net regression in serial and parallel.
Language: R - Size: 479 KB - Last synced at: over 1 year ago - Pushed at: about 3 years ago - Stars: 2 - Forks: 0
stla/gfiUltra
Generalized fiducial inference for ultrahigh-dimensional regression.
Language: R - Size: 24.4 KB - Last synced at: 1 day ago - Pushed at: over 4 years ago - Stars: 2 - Forks: 1
Heming0425/Model_Confidence_Bound
The MCB for variable selection identifies two nested models (upper and lower confidence bound models) containing the true model at a given confidence level.
Language: R - Size: 4.33 MB - Last synced at: almost 2 years ago - Pushed at: over 4 years ago - Stars: 2 - Forks: 0
LyonsZhang/BAZE
Bayesian zero-constrained regression with compositional covariates
Language: MATLAB - Size: 83 KB - Last synced at: about 2 years ago - Pushed at: almost 5 years ago - Stars: 2 - Forks: 2
hruffieux/mQTL_analysis_example
Replication of an mQTL analysis using the ``locus'' method on simulated data
Language: R - Size: 34.2 KB - Last synced at: over 1 year ago - Pushed at: over 6 years ago - Stars: 2 - Forks: 0
k-miah/FSGLmstate
R package for variable selection via fused sparse-group lasso (FSGL) penalized multi-state models incorporating molecular data (Miah et al., 2024).
Language: R - Size: 450 KB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 1 - Forks: 0
JaewonSon37/Data_Analysis_and_Regression1
Language: R - Size: 7.47 MB - Last synced at: about 2 months ago - Pushed at: 7 months ago - Stars: 1 - Forks: 0
zhichaoxu04/MetaR2M
A novel meta-analysis framework of the R-squared (R2)-based mediation effect estimation for high-dimensional omics mediators
Language: R - Size: 1.27 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 1 - Forks: 0
neilalex/lmito
Linear Model Interaction Terms Optimizer
Language: R - Size: 98.6 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 1 - Forks: 0
shounakch/SAID
Implements Synergistic Antagonistic Interaction Detection (SAID) for modeling interactions between health effects of exposures.
Language: C++ - Size: 58.6 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0
XiaoruiZhu/SPSP
A novel approach for feature selection based on the entire solution paths rather than the choice of a single tuning parameter, which significantly improves the accuracy of the selection.
Language: R - Size: 1.47 MB - Last synced at: 28 days ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0
adataschultz/LoanApproval_LendingClub
Predict loan approval by using different variable selection methods
Language: Jupyter Notebook - Size: 511 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0
SzymonNowakowski/DMRnet Fork of cran/DMRnet
This is a development version of DMRnet — Delete or Merge Regressors Algorithms for Linear and Logistic Model Selection and High-Dimensional Data.
Language: R - Size: 38.4 MB - Last synced at: 15 days ago - Pushed at: almost 2 years ago - Stars: 1 - Forks: 0
asimantobar/Translation
Language: Python - Size: 213 KB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 1 - Forks: 0
humburg/miPredict
Language: R - Size: 184 KB - Last synced at: about 1 month ago - Pushed at: about 2 years ago - Stars: 1 - Forks: 0
shaobo-li/hrqglas
An R Package for Group Variable Selection for Quantile and Robust Mean Regression
Language: R - Size: 59.6 KB - Last synced at: over 1 year ago - Pushed at: about 2 years ago - Stars: 1 - Forks: 1
MalikHebbat/Thesis---Code
Code for Master Thesis
Language: R - Size: 5.19 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 0
Ali-Mahzarnia/MFSGrp
R package: Computes the solution path of the multivariate Scalar-on-Functional Elastic Net regression in serial and parallel.
Language: R - Size: 307 KB - Last synced at: over 1 year ago - Pushed at: about 3 years ago - Stars: 1 - Forks: 1
abhishek1377/Customer-LifetTime-Value-Prediction
CLV prediction using Regression Analysis of customer invoice data for an online retail store
Size: 176 KB - Last synced at: over 1 year ago - Pushed at: over 3 years ago - Stars: 1 - Forks: 0
haziqj/phd-thesis
My PhD thesis: Regression modelling using priors depending on Fisher information covariance kernels (I-priors)
Language: TeX - Size: 268 MB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 1 - Forks: 1
AshwiniKV/TEHReview---MRC-CTU
Review: Data-driven methodology for detecting treatment effect heterogeneity
Language: R - Size: 311 KB - Last synced at: 5 months ago - Pushed at: about 4 years ago - Stars: 1 - Forks: 0
sarafinmahtab/MathJsWrapper
A wrapper of the mathjs.org (https://mathjs.org/) JavaScript library for Android to evaluate math expressions.
Language: Kotlin - Size: 264 KB - Last synced at: about 2 years ago - Pushed at: over 5 years ago - Stars: 1 - Forks: 0
mztrk/ImportantVariables
Important Variable selection
Size: 2.93 KB - Last synced at: over 1 year ago - Pushed at: almost 6 years ago - Stars: 1 - Forks: 0
SimonLarsen/varSelRanger
Variable selection using the ranger random forest R package
Language: R - Size: 2.93 KB - Last synced at: about 2 months ago - Pushed at: about 6 years ago - Stars: 1 - Forks: 0
ImperialCollegeLondon/R2GUESS
Wrapper functions for GUESS
Language: C++ - Size: 814 KB - Last synced at: about 1 month ago - Pushed at: over 6 years ago - Stars: 1 - Forks: 2
environmentalinformatics-marburg/ML_Spatial
Case studies for testing the risk of overfitting and the need for variable selection in spatial (-temporal) predictive modelling
Language: R - Size: 43 KB - Last synced at: about 1 year ago - Pushed at: over 6 years ago - Stars: 1 - Forks: 4
EhtashamBillah/Variable-Selection-By-Least-Absolute-Shrinkage-and-Selection-Operator-LASSO-
All independent variables do not have the similar impact on dependent variable. Here we will try to find the independent varibles that have most significant impact on dependent variable to make the ML algorithm fast and accurate by utilizing LASSO.
Language: R - Size: 1.95 KB - Last synced at: over 1 year ago - Pushed at: almost 7 years ago - Stars: 1 - Forks: 0
sestelo/fwdselect
An R package for selecting variables in regression models
Language: R - Size: 188 KB - Last synced at: about 1 year ago - Pushed at: over 9 years ago - Stars: 1 - Forks: 1
AllanJe/mahi
R package : Group lasso based selection for high-dimensional mediation analysis
Language: R - Size: 453 KB - Last synced at: 2 days ago - Pushed at: 2 days ago - Stars: 0 - Forks: 0
yizenglistat/glmcs
Generalized Linear Models with Confidence Sets
Language: R - Size: 4.36 MB - Last synced at: 3 days ago - Pushed at: 3 days ago - Stars: 0 - Forks: 0
jlaskow/Kaggle-House-Price-Predictions-in-Ames-Iowa
The following is a group Kaggle project using multiple linear regression models to predict housing prices in Ames, Iowa. The final Kaggle Score of all price predictions was 0.20623.
Size: 10.8 MB - Last synced at: 20 days ago - Pushed at: 20 days ago - Stars: 0 - Forks: 0
jlaskow/Employee-Demographics-for-FritoLay
In this study we seek to predict employee attrition with KNN clustering and Naive Bayes, and to predict employee salary using multiple linear regression
Language: HTML - Size: 19.3 MB - Last synced at: 20 days ago - Pushed at: 20 days ago - Stars: 0 - Forks: 0
hlorenzo/ddsPLS
Analysis of multi-block supervised problems thanks to SVD-based methods permitting variable selection.
Language: R - Size: 18.9 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 2
SirCornflake/BMS
Tools to perform model selection alongside estimation under Linear, Logistic, Negative binomial, Quantile, and Skew-Normal regression. Under the spike-and-slab method, a probability for each possible model is estimated with the posterior mean, credibility interval, and standard deviation of coefficients and parameters under the most probable model.
Language: R - Size: 304 KB - Last synced at: 5 days ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0
ajmolstad/penAFT
R package for fitting semiparametric accelerated failure time models in high dimensions
Language: R - Size: 4.6 MB - Last synced at: 8 months ago - Pushed at: 8 months ago - Stars: 0 - Forks: 1
ShenZhang-Statistics/SLScoda
High-dimensional Linear Regression with Correlated Compositional Covariates
Language: C++ - Size: 36.1 KB - Last synced at: 8 months ago - Pushed at: 8 months ago - Stars: 0 - Forks: 0
ducnh279/Variable-Selection-Network-with-PyTorch
Variable Selection Network with PyTorch
Language: Jupyter Notebook - Size: 79.1 KB - Last synced at: 12 months ago - Pushed at: 12 months ago - Stars: 0 - Forks: 0
KeshavElangoDS/LifeExpectancyAnalysis_MLR
The goal of the project is to predict Life Expectancy using various factors and to determine the relationship that exists between them.
Language: R - Size: 1.11 MB - Last synced at: 12 months ago - Pushed at: 12 months ago - Stars: 0 - Forks: 0
Scrayil/Air-Quality-Prediction
The aim of this project is to develop a machine learning model to predict the levels of CO in the air using historical datasets containing atmospheric variables. The project makes use of variables selection, decision trees, and cross-validation techniques to ensure robustness and model accuracy.
Language: R - Size: 2.12 MB - Last synced at: 12 months ago - Pushed at: 12 months ago - Stars: 0 - Forks: 0
akashborigi/Shill-Bidding-Analysis
Implemented a couple of supervised, un-supervised and dimensionality reduction algorithms to visualise the behaviour of shill bidding data.
Language: Jupyter Notebook - Size: 7.19 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0
biometrician/abe-for-sas
Augmented backward elimination for SAS: A Pragmatic and Purposeful Way to Develop Statistical Models
Language: SAS - Size: 226 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0
He-jiazhi/Analysis-of-HIV-Drug-Resistance-Data
STAT 2131 (Applied Statistical Method 1) Course Final Project at Pitt in 2023 Fall.
Language: HTML - Size: 354 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0
lcrawlab/GOALS
Code and tutorials for implementing the GlObal And Local Score
Language: R - Size: 1.17 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0
marinavannucci/dmbvs Fork of duncanwadsworth/dmbvs
R/C code for Bayesian variable selection for Dirichlet-multinomial regression models. Accompany paper: Wadsworth et al. (2016). An Integrative Bayesian Dirichlet-Multinomial Regression Model for the Analysis of Taxonomic Abundances in Microbiome data. BMC Bioinformatics 18:94.
Language: C - Size: 214 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 1
