tag:crantastic.org,2005:/authors/3916Latest activity for Julio Cesar Hernandez Sanchez2015-01-16T21:31:16Zcrantastic.orgtag:crantastic.org,2005:TimelineEvent/383922015-01-16T21:31:17Z2015-01-16T21:31:17ZOrdinalLogisticBiplot was upgraded to version 0.4<a href="/packages/OrdinalLogisticBiplot">OrdinalLogisticBiplot</a> was <span class="action">upgraded</span> to version <a href="/packages/OrdinalLogisticBiplot/versions/38211">0.4</a><br /><h3>Package description:</h3><p>Analysis of a matrix of polytomous items using Ordinal Logistic Biplots (OLB) The OLB procedure extends the binary logistic biplot to ordinal (polytomous) data. The individuals are represented as points on a plane and the variables are represented as lines rather than vectors as in a classical or binary biplot, specifying the points for each of the categories of the variable. The set of prediction regions is established by stripes perpendicular to the line between the category points, in such a way that the prediction for each individual is given by its projection into the line of the variable.</p>crantastic.orgtag:crantastic.org,2005:TimelineEvent/353062013-10-30T13:31:36Z2013-10-30T13:31:36ZOrdinalLogisticBiplot was released<a href="/packages/OrdinalLogisticBiplot">OrdinalLogisticBiplot</a> was <span class="action">released</span><br /><h3>Package description:</h3><p>Analysis of a matrix of polytomous items using Ordinal Logistic Biplots (OLB) The OLB procedure extends the binary logistic biplot to ordinal (polytomous) data. The individuals are represented as points on a plane and the variables are represented as lines rather than vectors as in a classical or binary biplot, specifying the points for each of the categories of the variable. The set of prediction regions is established by stripes perpendicular to the line between the category points, in such a way that the prediction for each individual is given by its projection into the line of the variable.</p>crantastic.orgtag:crantastic.org,2005:TimelineEvent/351162013-09-17T13:10:57Z2013-09-17T13:10:57ZNominalLogisticBiplot was released<a href="/packages/NominalLogisticBiplot">NominalLogisticBiplot</a> was <span class="action">released</span><br /><h3>Package description:</h3><p>Analysis of a matrix of polytomous items using Nominal Logistic Biplots (NLB) according to Hernandez-Sanchez and Vicente-Villardon (2013). The NLB procedure extends the binary logistic biplot to nominal (polytomous) data. The individuals are represented as points on a plane and the variables are represented as convex prediction regions rather than vectors as in a classical or binary biplot. Using the methods from Computational Geometry, the set of prediction regions is converted to a set of points in such a way that the prediction for each individual is established by its closest "category point". Then interpretation is based on distances rather than on projections. In this package we implement the geometry of such a representation and construct computational algorithms for the estimation of parameters and the calculation of prediction regions.</p>crantastic.org