pkgsrc/math/R-mvtnorm/distinfo

$NetBSD: distinfo,v 1.7 2016/04/13 14:23:29 wen Exp $

SHA1 (R/mvtnorm_1.0-5.tar.gz) = 4f10502e670ad886c2d392e934fedffadd565e30
RMD160 (R/mvtnorm_1.0-5.tar.gz) = e2b93bf184138798629c3cddaa9aa04ef555d441
SHA512 (R/mvtnorm_1.0-5.tar.gz) = 43684a927ffe5520b53c13ecc8dca62c5e82756ccf378962397359697db06f1dcb3cf6e26fadfc15aa2516ddfc980910696ebe069ed36db95e3771ef45aa6c0c
Size (R/mvtnorm_1.0-5.tar.gz) = 158480 bytes
Update to 1.0.5 Upstream changes: Changes in version 1.0-5 (2016-02-02) o improvements in quantile estimation Changes in version 1.0-4 (2016-01-19) o a new algorithm for quantile estimation, again. Quantiles are now computed by a stochastic root finding algorithm. Note that f.quantile in the output of qmv{t,norm} is now (again) the squared difference between the cdf evaluated at the quantile and the level. The \code{interval} argument to the quantile functions is used as a starting value for the root finder when available. o clean-ups in C and R code and documentation Changes in version 1.0-3 (2015-07-21) o new algorithm for quantile estimation. Quantiles are now computed by minimising the squared distance between the distribution function and the probability whereas previous versions used uniroot(). The procedure is now performed multiple times with difference random seeds in order to stabilise the results. The \code{interval} argument to the quantile functions is IGNORED now. 2016-04-13 16:23:29 +02:00			$NetBSD: distinfo,v 1.7 2016/04/13 14:23:29 wen Exp $
Initial import R-mvtnorm 0.7.2 Computes the multivariate normal and t distribution 2006-07-02 15:09:22 +02:00
Update to 1.0.5 Upstream changes: Changes in version 1.0-5 (2016-02-02) o improvements in quantile estimation Changes in version 1.0-4 (2016-01-19) o a new algorithm for quantile estimation, again. Quantiles are now computed by a stochastic root finding algorithm. Note that f.quantile in the output of qmv{t,norm} is now (again) the squared difference between the cdf evaluated at the quantile and the level. The \code{interval} argument to the quantile functions is used as a starting value for the root finder when available. o clean-ups in C and R code and documentation Changes in version 1.0-3 (2015-07-21) o new algorithm for quantile estimation. Quantiles are now computed by minimising the squared distance between the distribution function and the probability whereas previous versions used uniroot(). The procedure is now performed multiple times with difference random seeds in order to stabilise the results. The \code{interval} argument to the quantile functions is IGNORED now. 2016-04-13 16:23:29 +02:00			`SHA1 (R/mvtnorm_1.0-5.tar.gz) = 4f10502e670ad886c2d392e934fedffadd565e30`
			`RMD160 (R/mvtnorm_1.0-5.tar.gz) = e2b93bf184138798629c3cddaa9aa04ef555d441`
			`SHA512 (R/mvtnorm_1.0-5.tar.gz) = 43684a927ffe5520b53c13ecc8dca62c5e82756ccf378962397359697db06f1dcb3cf6e26fadfc15aa2516ddfc980910696ebe069ed36db95e3771ef45aa6c0c`
			`Size (R/mvtnorm_1.0-5.tar.gz) = 158480 bytes`