µTOSS - Multiple hypothesis testing in an open software system
نویسندگان
چکیده
μTOSS is an R package providing an open source, easy-to-extend platform for multiple hypothesis testing (MHT), one of the most active research fields in statistics over the last 10-15 years. Its first motivation is to establish a common platform and standardization for MHT procedures at large. The μTOSS software has been designed and written in the framework of a “Harvest Programme” call of the PASCAL2 European research network. Basically, it consists of the two R packages mutoss and mutossGUI. For researchers, it features a convenient unification of interfaces for MHT procedures (including standardized functions to access existing specific MHT R packages such as multtest and multcomp, as well as recent MHT procedures that are not available elsewhere) and helper functions facilitating the setup of benchmark simulations for comparison of competing methods. For end users, a graphical user interface and an online user’s guide for finding appropriate methods for a given specification of the multiple testing problem is included. Ongoing maintenance and subsequent extensions will aim at establishing μTOSS as a state of the art in statistical computing for MHT. © 2010 G. Blanchard, T. Dickhaus, N. Hack, F. Konietschke, K. Rohmeyer, J. Rosenblatt, M. Scheer & W. Werft.
منابع مشابه
P 4: The Hypothesis Detect Multiple Sclerosis in Early Stage with Saliva Testing
Introduction: Recent studies point to the clinical and research efficacy of saliva as a respected diagnostic aid for observing Multiple Sclerosis. The objectives of this Hypothesis are to identify novel biomarkers recognized to Multiple Sclerosis in early stage in saliva and to determine if the levels of these markers correlate with level of these Cerebrospinal fluid and blood assays and urine ...
متن کاملApplication of Open Data for Official Statistics, Case Study Data of Instagram Social Network
Abstract. Open data notion is based on the idea that emphasizes on free access of users to data to reuse them on their own and republish the result far from some restrictions of copyright, patent etc. Due to the ever increasing trend of Information and Communication Technology (ICT), more data is producing every day and this brings brilliant opportunity for National Statistical Offices (NSOs) ...
متن کاملLINEAR HYPOTHESIS TESTING USING DLR METRIC
Several practical problems of hypotheses testing can be under a general linear model analysis of variance which would be examined. In analysis of variance, when the response random variable Y , has linear relationship with several random variables X, another important model as analysis of covariance can be used. In this paper, assuming that Y is fuzzy and using DLR metric, a method for testing ...
متن کاملAcceptance sampling for attributes via hypothesis testing and the hypergeometric distribution
This paper questions some aspects of attribute acceptance sampling in light of the original concepts of hypothesis testing from Neyman and Pearson (NP). Attribute acceptance sampling in industry, as developed by Dodge and Romig (DR), generally follows the international standards of ISO 2859, and similarly the Brazilian standards NBR 5425 to NBR 5427 and the United States Standards ANSI/ASQC Z1....
متن کاملAn analysis about urban creativity in Qazvin (Case study: Triple regions of Qazvin)
Creative city is a house for art creativities, scientific and technological innovations and clear voice of developing cultures; the city which fulfills all its creative potentials and is the pioneer of cultural and developmental activities. Qazvin is among the prone cities that doesn’t have a far distance to its prosperity of creativity. Therefore, this research tries to analyze the indicators ...
متن کامل