Application Of R Programming In Meta-Analysis.
R program is free open-source software that has packages which can be used to conduct meta-analysis. The aim of this project is to apply the packages availed by R to carry out a complete meta-analysis of various studies.…
Working With Dicom Data Input/Output In R
The oro.dicom package allows input and output of data that adapts to the Digital Imaging and Communications in Medicine (DICOM) standard. The DICOM list organization is used to produce a multi-dimensional array represent…
Application Of Machine Learning Algorithms To Determine The Default Habits Of A Bank’s Creditors.
Computational methods are mathematical models used to study the behavior of complex systems using a computer simulation. Computational models are combining different mathematical and statistical tools that are used to an…
Significance Of High Performance Computing In Cancer Research.
The project was aimed at finding out the significance of the R program in the field of High Performance Computing (HPC). High-performance computing (HPC) is the use of parallel processing for running advanced application…
Graphics
Graphics are visual images or designs on some surface, such as a wall, canvas, screen, paper, or stone to inform, illustrate, or entertain. In contemporary usage, it includes: pictorial representation of data, as in comp…
Genetics Statistics
Genetics statistics is quite a vast area of study and can be divided into several fields for instance:Population Genetics, Phylogenetics, Linkage, QTL mapping, Association, Linkage Disequilibrium and haplotype mapping, G…
Breast Cancer Incidence Counts Modelling And Forecasting.
This article discusses the main topic of functional data analysis. It also highlights the usefulness of R- packages/ libraries in computing various tasks or commands. In analyzing the data we collected (Breast cancer inc…
Application Of Computation Methods In Empirical Finance.
Computational methods and data analysis refer to the use of mathematical and statistical and data analysis tools to handle data ,study and come up with different solutions to different problems in various fields. One of …
Application Of Extreme Value Theorem In Weather Forecasting.
Weather forecasting is a broad subject that has been in application since time immemorial. There are very many components of weather that contribute to its forecasting. One of the valuable components of weather is rainfa…
Bayesian Inferencing In R: Using Bayesboot, Bayesplot And Rstanarm Packages
In this article, we deal with Bayesian inference of the unknown parameters in the dataset "Human Waste Disposal Models in six counties in Kenya". The Bayes plot, Rstanarm and Bayes boot packages stimulate the implementat…