Results 71 to 80 of about 26,187,594 (246)
Software for Computing and Annotating Genomic Ranges
We describe Bioconductor infrastructure for representing and computing on annotated genomic ranges and integrating genomic data with the statistical computing features of R and its extensions. At the core of the infrastructure are three packages: IRanges,
Michael F. Lawrence +7 more
semanticscholar +1 more source
Exploratory Factor Analysis with R Software
Exploratory Factor Analysis (EFA) is frequently used in educational and social sciences. EFA has been used in scale development and adaptation studies, in particular. Therefore, in this study, how to conduct EFA in R software has been explained. First of
Abdullah Faruk Kılıç
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Generative adversarial network for low‐light image enhancement
Low‐light image enhancement is rapidly gaining research attention due to the increasing demands of extreme visual tasks in various applications. Although numerous methods exist to enhance image qualities in low light, it is still undetermined how to ...
Fei Li +2 more
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Design and implementation of shoes arrangement robot system for unknown environment
In recent years, the robot and artificial intelligence technology have developed rapidly, but there still remains a challenging problem to realize the contact operation of robot in home environment. In order to make the robot arrange shoes automatically,
TANG Xiaolong, HUANG Hui
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R++, User-Friendly Statistical Software [PDF]
Statistical analysis is gradually entering all areas of society, be in academia or in the private sector. Statistical software is used by statisticians but also by non-experts (medical doctors, psychologists...). Unfortunately, this kind of software is integrated into obsolete interfaces that completely ignore the principles of HCI and are poorly ...
Christophe Genolini +2 more
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High-Dimensional Inference: Confidence Intervals, $p$-Values and R-Software hdi
We present a (selective) review of recent frequentist high-dimensional inference methods for constructing $p$-values and confidence intervals in linear and generalized linear models.
Bühlmann, Peter +3 more
core +1 more source
R behind the scenes: Using S the (un)usual way [PDF]
R is not only a program for analyzing and visualizing data, it is an open and programmable software environment. It can not only easily access other programs written in a wide variety of languages, but also be accessed itself from other programs. As such,
Leisch, Friedrich
core +1 more source
ARDL modeling using R software
Abstract The goal of this paper is helping to apply ARDL models using the R software. We will cover its benefits, show how to use the packages and will make interesting recommendations for estimating models ARDL using R.
openaire +1 more source
Researchers are often interested in identifying homogeneous subgroups within heterogeneous samples on the basis of a set of measures, such as profiles of individuals’ motivation (i.e., their values, competence beliefs, and achievement goals).
J. Rosenberg +3 more
semanticscholar +1 more source
Multi-category diagnostic accuracy based on logistic regression
We provide a detailed review for the statistical analysis of diagnostic accuracy in a multi-category classification task. For qualitative response variables with more than two categories, many traditional accuracy measures such as sensitivity ...
Jialiang Li +2 more
doaj +1 more source

