generalized-linear-models
Here are 49 public repositories matching this topic...
This repository documents my senior year independent project related to exploring the impact of behavioral interactions on the foraging success/attempts of five, peruvian army-ant following birds.
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May 7, 2024 - R
his repository contains the data and source code used to produce the results presented in the paper linked below.
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May 5, 2024 - R
High Throughput Light Weight Regularized Regression Modeling for Molecular Data
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Apr 12, 2024 - R
BranchGLM
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Apr 8, 2024 - R
Joint Analysis and Imputation of generalized linear models and linear mixed models with missing values
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Apr 2, 2024 - R
Sorted L1 Penalized Estimation
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Nov 21, 2023 - R
Ribo-DT is a snakemake pipeline to infer single-codon and codon-pair dwell times as well as gene flux from ribosome profiling data using generalized linear model (GLM) with negative binomial noise model (Gobet et al., PNAS, 2020).
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Nov 1, 2023 - R
A pair of scripts that contain profound statistical analyses. The first one approaches a linear model, while the second one a generalized linear model
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Oct 17, 2023 - R
Final Project for STAT 172 - Data Mining & Generalized Linear Models
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Sep 23, 2023 - R
gnm package for generalized nonlinear models in R
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Mar 20, 2024 - R
📊⚙️ Using 7 years of my sleep data, this project predicts Sleep Quality using a linear regression model based on predictors such as time in bed, time asleep, temperature, alarm, and steps.
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Jun 12, 2023 - R
Fitting dose-response models in R
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May 21, 2024 - R
This project looks at hurricane data to determine if the femininity level of hurricane name is associated with more deaths.
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Mar 16, 2023 - R
Our team GMT+8 analyzed the given data and recommended which manufacturers MM&A team should partner with to pilot the digital ad program. I utilised my knowledge of the R language to build the statistical prediction model for quantifying the effectiveness of the coupon promotion by the manufacturers in the supermarket.
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Jan 16, 2023 - R
R package: Linear Splines with Convenient Parameterizations
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Nov 13, 2022 - R
Constrained likelihood estimation and inference with truncated lasso penalty for linear, generalized linear, and Gaussian graphical models.
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Sep 16, 2022 - R
This project aims to use the regularised regression models such as lasso regression, ridge regression, and elastic nets to identify the variables that predict whether a basketball player will play more than five seasons in the NBA. See details in Project memo.pdf
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Aug 7, 2022 - R
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