tag:crantastic.org,2005:/packages/depend-truncationLatest activity for depend.truncation2017-04-21T06:20:38Zcrantastic.orgtag:crantastic.org,2005:TimelineEvent/616972017-04-21T06:20:38Z2017-04-21T06:20:38Zdepend.truncation was upgraded to version 2.6<a href="/packages/depend-truncation">depend.truncation</a> was <span class="action">upgraded</span> to version <a href="/packages/depend-truncation/versions/59011">2.6</a><br /><h3>Package description:</h3><p>Suppose that one can observe bivariate random variables (X, Y) only when X<=Y holds. Data (Xj, Yj), subject to Xj<=Yj, for all j=1,...,n, are called truncated data. For truncated data, several different approaches are implemented for statistical inference on (X, Y), when X and Y are dependent. Also included is truncated data on the number of deaths at each year (1963-1980) for Japanese male centenarians.</p>crantastic.orgtag:crantastic.org,2005:TimelineEvent/503852016-04-14T13:00:29Z2016-04-14T13:00:29Zdepend.truncation was upgraded to version 2.5<a href="/packages/depend-truncation">depend.truncation</a> was <span class="action">upgraded</span> to version <a href="/packages/depend-truncation/versions/48715">2.5</a><br /><h3>Package description:</h3><p>Suppose that one can observe bivariate random variables (X, Y) only when X<=Y holds. Data (Xj, Yj), subject to Xj<=Yj, for all j=1,...,n, are called truncated data. For truncated data, several different approaches are implemented for statistical inference on (X, Y), when X and Y are dependent. Also included is truncated data on the number of deaths at each year (1963-1980) for Japanese male centenarians.</p>crantastic.orgtag:crantastic.org,2005:TimelineEvent/410292015-05-28T08:50:50Z2015-05-28T08:50:50Zdepend.truncation was upgraded to version 2.4<a href="/packages/depend-truncation">depend.truncation</a> was <span class="action">upgraded</span> to version <a href="/packages/depend-truncation/versions/40829">2.4</a><br /><h3>Package description:</h3><p>Suppose that one can observe bivariate random variables (X, Y) only when X<=Y holds. Data (Xj, Yj), subject to Xj<=Yj, for all j=1,...,n, are called truncated data. Parametric approach (Emura & Konno 2012 Stat Papers), semiparametric approach (Chaieb et al. 2006 Biometrika; Emura et al. 2011 Sinica; Emura & Murotani 2015 TEST), nonparametric maximum likelihood approach (Emura & Wang 2012 JMVA), and regression approach (Emura & Wang 2015 AISM) are implemented for statistical inference on (X, Y), when X and Y are dependent. Also included is truncated data on the number of deaths at each year (1963-1980) for Japanese male centenarians (Emura & Murotani 2015 TEST).</p>crantastic.orgtag:crantastic.org,2005:TimelineEvent/406832015-05-10T21:30:46Z2015-05-10T21:30:46Zdepend.truncation was upgraded to version 2.3<a href="/packages/depend-truncation">depend.truncation</a> was <span class="action">upgraded</span> to version <a href="/packages/depend-truncation/versions/40483">2.3</a><br /><h3>Package description:</h3><p>Suppose that one can observe bivariate random variables (X, Y) only when X<=Y holds. Data (Xj, Yj), subject to Xj<=Yj, for all j=1,...,n, are called truncated data. Parametric approach (Emura & Konno 2012 Stat Papers), semiparametric approach (Chaieb et al. 2006 Biometrika; Emura et al. 2011 Sinica; Emura and Murotani 2015 TEST), nonparametric maximum likelihood approach (Emura & Wang 2012 JMVA), and regression approach (Emura and Wang 2015 AISM) are implemented for statistical inference on (X, Y), when X and Y are dependent. Also included is truncated data on the number of deaths at each year (1963-1980) for Japanese male centenarians (Emura and Murotani 2015 TEST).</p>crantastic.orgtag:crantastic.org,2005:TimelineEvent/394292015-03-06T09:50:38Z2015-03-06T09:50:38Zdepend.truncation was upgraded to version 2.2<a href="/packages/depend-truncation">depend.truncation</a> was <span class="action">upgraded</span> to version <a href="/packages/depend-truncation/versions/39254">2.2</a><br /><h3>Package description:</h3><p>Suppose that one can observe bivariate random variables (X, Y) only when X<=Y holds. Data (X_j, Y_j), subject to X_j<=Y_j, for all j=1,...,n, are called truncated data. Parametric approach (Emura & Konno 2012 Stat Papers), semiparametric approach (Chaieb et al. 2006 Biometrika; Emura et al. 2011 Sinica), and the nonparametric maximum likelihood approach (Emura & Wang 2012 JMVA) are implemented for statistical inference on (X, Y), when X and Y are dependent. Also included is truncated data on the number of deaths at each year (1963-1980) for Japanese male centenarians (Emura and Murotani 2015).</p>crantastic.orgtag:crantastic.org,2005:TimelineEvent/190962012-02-21T15:30:35Z2012-02-21T15:30:35Zdepend.truncation was released<a href="/packages/depend-truncation">depend.truncation</a> was <span class="action">released</span><br /><h3>Package description:</h3><p>Suppose that one can observe bivariate random variables (X, Y) only when X<=Y holds. Data (Xj, Yj), subject to Xj<=Yj, for all j=1,...,n, are called truncated data. For truncated data, several different approaches are implemented for statistical inference on (X, Y), when X and Y are dependent. Also included is truncated data on the number of deaths at each year (1963-1980) for Japanese male centenarians.</p>crantastic.org