Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 20 of 97 for “"R Package"”.
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A framework for the statistical analysis of mass spectrometry imaging experiments
… <em>Cardinal</em>, a free and open-source R package for processing, visualization, and statistical analysis of MS imaging experiments. <em>Cardinal</em> is the first R package designed specifically for MS imaging, and the first software for MS imaging that focuses specifically on experiments …
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Dynamic factor analysis with dependent Gaussian processes for high-dimensional biomarker trajectories
… Markov Chain Monte Carlo sampler and an R package GPFDA, which returns the maximum likelihood estimates of DGP hyperparameters. The modular structure of MCEM makes it generalizable to other complex models involving the DGP model component. Our R package DGP4LCF that implements the proposed …
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Discovering Biomarkers of Alzheimer's Disease by Statistical Learning Approaches
… driven studies, the development of statistical packages or application were also involved. R package metaUnion was designed and developed to provide advanced meta-analytic approach applicable for microarray data. This package overcomes the defects appearing in previous meta-analytic packages { …
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Semiparametric Regression Under Left-Truncated and Interval-Censored Competing Risks Data and Missing Cause of Failure
… we develop a convenient and exible tool, the R package intccr, that performs semiparametric regression analysis on the CIF for interval-censored competing risks data. Second, we adopt the augmented inverse probability weighting method to deal with both interval censoring and missing event types. …
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Statistical Methods for Multivariate Functional Data Clustering, Recurrent Event Prediction, and Accelerated Degradation Data Analysis
… degradation test (ADDT) data, in which an R package is developed. All three projects are related to and can be used to solve certain reliability problems. Specifically, in Chapter 2, we introduce a clustering method for multivariate functional data. In order to cluster the customized events …
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An Empirical Study of API Breaking Changes in Bioconductor
Bioconductor is the second largest R software package repository that is primarily used for the analysis of genomic and biological data. With downloads exceeding millions in recent years, the widespread growth of the repository's adoption can be attributed to it's diverse selection of …
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Topics in Tree-Based Methods
… loss. These techniques are implemented in the R package itree, described in Chapter 2. In addition to the procedures introduced in Chapter 1, itree implements a method for visualizing the out-of-sample risk as well as the usual classification and regression tree methodologies. Chapter 2 presents …
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Topics on multiple hypotheses testing and generalized linear model
… in terms of the FWER control and power. An R package “MHTdiscrete” and a web application are developed for implementing the proposed procedures for discrete data. Many complex biomedical studies, such as clinical safety studies and genome-wide association studies, often involve testing …
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Essays in Hierarchical Time Series Forecasting and Forecast Combination
… the software implementation of the open source R package for forecast combination that we coded and published on the official R package depository, CRAN. The GeomComb package is the only R package that covers a wide range of different popular forecast combination methods. We implement techniques …
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Development of Nontargeted Screening Algorithms for Indoor Contaminants
… were investigated. To achieve this, an R package (‘indoortransformer’) was developed to predict indoor transformation products of organophosphorus compounds (OPCs). By further expanding the R package to incorporate in silico MS2 fragmentation prediction, 40 OPCs were detected in 23 house …
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Applying an Intrinsic Conditional Autoregressive Reference Prior for Areal Data
… We present and describe ref.ICAR, an R package that implements an objective Bayes intrinsic conditional autoregressive prior on a vector of spatial random effects. This model provides an objective Bayesian approach for modeling spatially correlated areal data. ref.ICAR enables analysis …
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Understanding and supporting pricing decisions using multicriteria decision analysis: an application to antique silver in South Africa
… is discussed. Additionally, an open source R package to implement the design of discrete choice experiments is created. The multi-attribute models provide key insights into decision maker's reasoning for price; and contrasting different decision maker's models explains the market. A risk …
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Detection of Latent Heteroscedasticity and Group-Based Regression Effects in Linear Models via Bayesian Model Selection
… lack of prior information. We provide an R package, slgf, that implements our methodology in practice, and demonstrate its usage in practice.
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Complex latent variable modeling for multivariate hierarchical data
… alternatives. Second, it proposes the novel R package multilevLCA package as the first open-source software implementing the described state-of-the-art methodologies, and the first software overall automatically implementing some stepwise and sequential routines. As such, it contributes both to …
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Responsibly Emboldening Predictions via Boldness-Recalibration
… Additionally, we introduce BRcal, an R package implementing Boldness-Recalibration and supporting methodology. We reformulate boldness-recalibration as a nonlinear optimization of boldness with a nonlinear constraint on calibration, and describe how this is implemented in BRcal. The …
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Bayesian hierarchical models for estimating nest survival
… All the programs were written in FORTRAN and a R package (function) was created to make it more user friendly.
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Optimal survival trees ensemble
… Furthermore, the method is implemented in an $R$ package called "OSTE''.
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Computational analysis and method development for high throughput transcriptomics and transcriptional regulatory inference in plants
… to their cognate DAS genes. ii) A TSIS R package for time-series transcript isoform switch (IS) analysis was developed. IS refers to the time-points when a pair of transcript isoforms from the same gene reverse their relative expression abundances. By using a five metric scheme to evaluate …
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Modern Methods in Semiparametric Statistics
… to fit ROSE random forests is provided as the R package rose available from https://github.com/elliot-young/rose/. The third and fourth chapters study estimation for grouped data, where observa- tions are arranged in independent groups but may exhibit within-group dependence. Ex- isting …
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Semiparametric Methods for Two Problems in Causal Inference using Machine Learning
… approaches, and code is made available in the R package drape (Doubly-Robust Average Partial Effects) available from https://github.com/harveyklyne/drape. In the third chapter, we consider testing for conditional independence of two discrete random variables X and Y given a third continuous …
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