Find Similar Commercial items by using NN with Mixing Textual, Categorical and Numerical features
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Updated
Mar 28, 2019 - HTML
Find Similar Commercial items by using NN with Mixing Textual, Categorical and Numerical features
This three level mixed model seeks to understand which variables mediated and moderated the relationship between demographic factors of children and educators, and measures of inappropriate behaviour (DESSA Mini Scale) and physical literacy (TEAF Clinical Scale).
Fits the mixed cumulative incidence function models suggested by Cederkvist et al (2018; https://doi.org/10.1093%2Fbiostatistics%2Fkxx072) which decomposes within cluster dependence of risk and timing.
This packege made foe bioequivalence testing.
Generalized Additive Forecasting Mortality
This website is a project for analysis of the Genomic Selection for Drought Tolerance Using Genome Wide GBS and/or DART in Cassava by EMBRAPA Mandioca.
Julia package for fitting mixed-effects models with flexible random/repeated covariance structure.
A Julia package for analyzing massive longitudinal data using Linear Mixed Models (LMMs) through the Bag of Little Bootstrap (BLB) method.
Honey bee are important for their products such as honey and bees wax. They are also indispensable in terms of supporting the ecosystem through pollination services. However, the production and function of honey bees is hindered by arthropod pests Varroa destructor that attack bees through their feeding activities. The current study investigates…
A longitudinal analysis and statistical report on the developmental of pulmonary function in children with asthma and the impact of early intervention of anti-inflammatory drugs by using SAS. Data source was a teaching dataset from the Childhood Asthma Management Program (CAMP) provided by the National, Heart, Lung and Blood Institute.
See https://biometris.github.io/LMMsolver for a full description
Data analysis for a water inundation experiment on dipterocarps...
Exploring the Primacy Effect in Victim and Perpetrator Foci in moral Emotions
Code for the paper: Mixed Models with Multiple Instance Learning
In this repository you can find the code to deal with statistical problems using R. You will find GLM, GLMM
Create a model to evaluate pitcher’s ability to generate swing and miss(whiff) with curveballs.
Analysing Age-Specific Death Rates with MixedModels.jl
Pitch Adjusted Swipe Rate Above Average (pSRAA)
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