Packaged: 2016-03-25 18:30:48 UTC; michaelsekula

Packaged: 2017-03-13 18:17:43 UTC; michaelsekula

Packaged: 2019-12-10 21:43:59 UTC; michaelsekula

Imports: grDevices, graphics, stats, utils, RankAggreg, mclust,
methods, cluster, gplots, kohonen, MBCluster.Seq,
Suggests: Biobase, GO.db, org.At.tair.db, annotate
Packaged: 2020-03-31 16:56:19 UTC; michaelsekula

Packaged: 2022-04-16 15:10:34 UTC; michaelsekula

Title: Optimal Designs for Estimating the Slope Divided by the
Author: Adam Kapelner, Abba Krieger and William J. Blanford
Description: Software which helps practitioners optimally design experiments
that measure the slope divided by the intercept (originally invented for HSGC
measurements) and provides confidence intervals. Other useful tools herein.
Depends: R (>= 3.0), neldermead, MCMCpack

Description: Compute optimal experimental designs
that measure the slope divided by the intercept.

Title: Optimization Toolbox for solving linear systems
Author: Prakash (PKS Prakash) <prakash2@uwalumni.com>
Description: The optR function provides an option to solve the linear system
using numeric and non-meric approach. The current packages supports Gauss
Elimination, LU decomposition, Gauss-Sideil, and CGM methods to solve
equations having relationships of Ax=b form. The pacakge can be used to
build linear and non-linear models by defining them in linear system.

using numeric computation approach. The current packages supports Gauss
Elimination, LU decomposition, Gauss-Sideil, CGM and Cholesky methods to
solve equations having relationships of Ax=b form. The package can be used
to build linear and non-linear models by defining them in linear system.

Title: Optimization Toolbox for Solving Linear Systems
Description: Solves linear systems of form Ax=b via Gauss elimination,
LU decomposition, Gauss-Seidel, Conjugate Gradient Method (CGM) and Cholesky methods.

Title: 'surv' Object Confidence Bands Optimized by Area
Description: Given a certain coverage level, obtains simultaneous confidence
bands for the survival and cumulative hazard functions such that the area
between is minimized. Produces an approximate solution based on local time
Suggests: stats, survival, km.ci, knitr, rmarkdown