Title: Statistical Test of Higher Order Intersections Among Multiple
Author: Minghui Wang, Yongzhong Zhao and Bin Zhang
Description: This package implements statistical tests and graphic visualization of intersections amongst multiple sets.

Title: Powerful Algorithm for Maximal Eigenpair
Author: Yueshuang Li <liyueshuang@mail.bnu.edu.cn> and Xiaojun Mao <maoxj@fudan.edu.cn>
Description: An implementation for using powerful algorithm to compute the
maximal eigenpair of Hermitizable tridiagonal matrices in R. It
provides two algorithms to find the maximal and the next to maximal
eigenpairs under the tridiagonal matrix. Besides, it also provides
two auxiliary algorithms to generate tridiagonal matrix and solve
the linear equation by Thomas algorithm. Several examples are included
in the vignettes to illustrate the usage of the functions.
Packaged: 2019-06-03 13:59:54 UTC; xiaojunmao

Packaged: 2020-01-06 18:02:01 UTC; xiaojunmao

Title: Tools for Designing and Weighting Survey Samples
Author: Richard Valliant, Jill A. Dever, Frauke Kreuter
Description: PracTools contains functions for sample size calculation
for survey samples using stratified or clustered one-, two-,
and three-stage sample designs. Other functions compute
variance components for multistage designs and sample sizes in
two-phase designs. A number of example datasets are included.
Suggests: doBy, foreign, pps, reshape, sampling, samplingbook, survey
Packaged: 2013-02-04 16:27:08 UTC; rvalliant

Description: PracTools contains functions for sample size calculation for survey samples using stratified or clustered one-, two-, and three-stage sample designs. Other functions compute variance components for multistage designs and sample sizes in two-phase designs. A number of example datasets are included.

Description: Contains functions for sample size calculation for survey samples using stratified or clustered one-, two-, and three-stage sample designs. Other functions compute variance components for multistage designs and sample sizes in two-phase designs. A number of example datasets are included.