37 results for Dataset

  • Dippy

    O'Sullivan, Michael; Mitchell, S; Walker, Cameron; Dunning, I; Lim, Q-S (2010)

    Dataset
    The University of Auckland Library

    Dippy creates an interface to ???DIP (Decomposition in Integer Programming , a framework for implementing a variety of decomposition-based branch-and-bound algorithms for solving mixed integer linear programs) by extending ???PuLP (Python library for modeling linear and integer programs). It allows users to customize the branching, cut generation and column generation of DIP, but within PuLP. This interface greatly simplifies both the problem definition and the customization of the framework using that problem definition.

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  • SPARX: Computerised Cognitive Behavioural Therapy for Adolescents seeking help for depression (CD-Rom)

    Merry, S; Stasiak, Karolina; Shepherd, M; Fleming, T; Lucassen, M (2010)

    Dataset
    The University of Auckland Library

    SPARX is a self-help computer programme for young people with symptoms of depression. The programme has been developed by a team of specialists in treating adolescent depression from the University of Auckand

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  • VGAM 0.8-4

    Yee, TW (2011)

    Dataset
    The University of Auckland Library

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  • Linguistic Inquiry and Word Count (LIWC2007)

    Pennebaker, JW; Booth, Roger; Francis, ME (2007)

    Dataset
    The University of Auckland Library

    Linguistic Inquiry and Word Count (LIWC) is a text analysis software program designed by James W. Pennebaker, Roger J. Booth, and Martha E. Francis. LIWC calculates the degree to which people use different categories of words across a wide array of texts, including emails, speeches, poems, or transcribed daily speech. With a click of a button, you can determine the degree any text uses positive or negative emotions, self-references, causal words, and 70 other language dimensions.

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  • Speech recognition system based on new dynamic time warping technique.

    Abdulla, Waleed; Chow, David; Sin, Garry (2011)

    Dataset
    The University of Auckland Library

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  • VGAM 1.0-2

    Yee, Thomas (2016-05-27)

    Dataset
    The University of Auckland Library

    An implementation of about 6 major classes of statistical regression models. At the heart of it are the vector generalized linear and additive model (VGLM/VGAM) classes, and the book "Vector Generalized Linear and Additive Models: With an Implementation in R" (Yee, 2015) gives details of the statistical framework and VGAM package. Currently only fixed-effects models are implemented, i.e., no random-effects models. Many (150+) models and distributions are estimated by maximum likelihood estimation (MLE) or penalized MLE, using Fisher scoring. VGLMs can be loosely thought of as multivariate GLMs. VGAMs are data-driven VGLMs (i.e., with smoothing). The other classes are RR-VGLMs (reduced-rank VGLMs), quadratic RR-VGLMs, reduced-rank VGAMs, RCIMs (row-column interaction models)???these classes perform constrained and unconstrained quadratic ordination (CQO/UQO) models in ecology, as well as constrained additive ordination (CAO).

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  • VGAMdata 1.0-2

    Yee, Thomas; Gray, J (2016-05-31)

    Dataset
    The University of Auckland Library

    An implementation of about 6 major classes of statistical regression models. At the heart of it are the vector generalized linear and additive model (VGLM/VGAM) classes, and the book "Vector Generalized Linear and Additive Models: With an Implementation in R" (Yee, 2015) gives details of the statistical framework and VGAM package. Currently only fixed-effects models are implemented, i.e., no random-effects models. Many (150+) models and distributions are estimated by maximum likelihood estimation (MLE) or penalized MLE, using Fisher scoring. VGLMs can be loosely thought of as multivariate GLMs. VGAMs are data-driven VGLMs (i.e., with smoothing). The other classes are RR-VGLMs (reduced-rank VGLMs), quadratic RR-VGLMs, reduced-rank VGAMs, RCIMs (row-column interaction models)???these classes perform constrained and unconstrained quadratic ordination (CQO/UQO) models in ecology, as well as constrained additive ordination (CAO).

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  • VGAM 1.0-1

    Yee, Thomas (2016-03-15)

    Dataset
    The University of Auckland Library

    An implementation of about 6 major classes of statistical regression models. At the heart of it are the vector generalized linear and additive model (VGLM/VGAM) classes, and the book "Vector Generalized Linear and Additive Models: With an Implementation in R" (Yee, 2015) gives details of the statistical framework and VGAM package. Currently only fixed-effects models are implemented, i.e., no random-effects models. Many (150+) models and distributions are estimated by maximum likelihood estimation (MLE) or penalized MLE, using Fisher scoring. VGLMs can be loosely thought of as multivariate GLMs. VGAMs are data-driven VGLMs (i.e., with smoothing). The other classes are RR-VGLMs (reduced-rank VGLMs), quadratic RR-VGLMs, reduced-rank VGAMs, RCIMs (row-column interaction models)???these classes perform constrained and unconstrained quadratic ordination (CQO/UQO) models in ecology, as well as constrained additive ordination (CAO).

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  • VGAM 1.0-3

    Yee, Thomas (2017-01-10)

    Dataset
    The University of Auckland Library

    An implementation of about 6 major classes of statistical regression models. At the heart of it are the vector generalized linear and additive model (VGLM/VGAM) classes, and the book "Vector Generalized Linear and Additive Models: With an Implementation in R" (Yee, 2015) gives details of the statistical framework and VGAM package. Currently only fixed-effects models are implemented, i.e., no random-effects models. Many (150+) models and distributions are estimated by maximum likelihood estimation (MLE) or penalized MLE, using Fisher scoring. VGLMs can be loosely thought of as multivariate GLMs. VGAMs are data-driven VGLMs (i.e., with smoothing). The other classes are RR-VGLMs (reduced-rank VGLMs), quadratic RR-VGLMs, reduced-rank VGAMs, RCIMs (row-column interaction models)???these classes perform constrained and unconstrained quadratic ordination (CQO/UQO) models in ecology, as well as constrained additive ordination (CAO).

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  • SPARX: a self-help computer programme for young people with symptoms of depression

    Merry, Sally; Stasiak, K; Doherty, I; Shepherd, M; Fleming, T; Lucassen, M (2011)

    Dataset
    The University of Auckland Library

    The Sparx game is our first ???Serious Games??? project designed and developed for the Faculty of Medical and Health Sciences of the University of Auckland and funded by the Ministry of Health New Zealand. We are designing and developing in conjunction with the University of Auckland a computer-administered self help programme for adolescents suffering from depression. This initiative is a New Zealand first. Sparx is based on cognitive behavioural therapy (CBT). It???s a therapy that can be very helpful for people with depression.

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  • Seawater Temperature dataset at Goat Island, Leigh New Zealand from 1967 to 2011

    Evans, J; Atkins, John (2013)

    Dataset
    The University of Auckland Library

    Seawater Temperature dataset at Goat Island, Leigh New Zealand from October 2011 to present available at http://hdl.handle.net/2292/21850 Collected seawater temperatures at the Leigh Marine Laboratory. Dataset contains an archive of material to 2011. The location of the laboratory is lat: -36.26929, lng: 174.79840. 1001 Leigh Road Matakana Auckland New Zealand. Creative Commons licence applied acknowledge attribution. http://www.marine.auckland.ac.nz/uoa/home/about/our-department/contact-details-and-location-maps.

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  • Cardiac Image Modelling (CIM)

    Cowan, Brett (2006)

    Dataset
    The University of Auckland Library

    CIM is software developed to analyse cardiac MRI images for patients. It comprises more than 100,000 lines of code and was the subject of a successful US patent in 2006. It has been licensed to the largest MRI manufacturer in the world (Siemens) and distributed into hospitals internationally. The research grade software has been used for thousands of patients in Auckland and Middlemore Hospitals and has been purchased by Johns Hopkins, NIH, UCLA, and many others for use in the largest cardiac MRI clinical trials in the world today. The Auckland MRI Research Group uses CIM as part of its core laboratory for international trials. In the last four years it has been extended to include analysis of new data such as the right ventricle, DENSE, tagging and SSFP strain images.

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  • CALM: Computer Assisted Learning for the Mind website

    Fernando, Antonio; Moir, Fiona; Davis, PG; Kumar, Shailesh; Doherty, Iain (2010)

    Dataset
    The University of Auckland Library

    Development of an online self-care package to help students manage stresses of student life. The website was first released to medical students and is now open access on the web. One of the initial ideas with the CALM website, was to do some research as soon as the website was created. With this in mind, the website was initially only available to particpants in a research project (medical students), who were each given unique identifers whch oculd grant them access. After the conclusion of the study, the website was released to the public

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  • DSpace

    Tansley, R; Downing, J; Jones, R; Mircea, G; J??rgen, C; Donohue, T; Yeadon, S; Phillips, S; Rodgers, R; Lewis, Stuart; Bollini, A; Diggory, M; Rutherford, J; Tirggs, G; Bosman, B; Wood, M; Shepherd, Kim; Stone, L; Gilbertson, K; Trimble, J; Taylor, R; Dietz, P (2010)

    Dataset
    The University of Auckland Library

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  • VGAMdata 1.0-3

    Yee, Thomas; Gray, J (2017-01-11)

    Dataset
    The University of Auckland Library

    An implementation of about 6 major classes of statistical regression models. At the heart of it are the vector generalized linear and additive model (VGLM/VGAM) classes, and the book "Vector Generalized Linear and Additive Models: With an Implementation in R" (Yee, 2015) gives details of the statistical framework and VGAM package. Currently only fixed-effects models are implemented, i.e., no random-effects models. Many (150+) models and distributions are estimated by maximum likelihood estimation (MLE) or penalized MLE, using Fisher scoring. VGLMs can be loosely thought of as multivariate GLMs. VGAMs are data-driven VGLMs (i.e., with smoothing). The other classes are RR-VGLMs (reduced-rank VGLMs), quadratic RR-VGLMs, reduced-rank VGAMs, RCIMs (row-column interaction models)???these classes perform constrained and unconstrained quadratic ordination (CQO/UQO) models in ecology, as well as constrained additive ordination (CAO).

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  • PeerWise

    Denny, Paul (2007)

    Dataset
    The University of Auckland Library

    PeerWise is web-based learning tool that leverages the familiarity students have with social software and Web 2.0, engaging them directly in the assessment process. Using PeerWise, students work collaboratively with their peers to construct, share, evaluate, answer and discuss a repository of assessment questions relevant to their course. Students are responsible for creating and moderating the resource, typically generating many hundreds of questions and submitting many thousands of answers. Since its first use at the University of Auckland in 2007, more than 200,000 questions and 5 million answers have been contributed by students from over 200 institutions around the world.

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  • BEAST2: Bayesian evolutionary analysis sampling trees

    Bouckaert, Remco; Drummond, Alexei; Rambaut, A; Suchard, M; Vaughan, T; Heled, Y (2014)

    Dataset
    The University of Auckland Library

    BEAST (Bayesian evolutionary analysis sampling trees) is package for evolutionary inference from molecular sequences.

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