Linear equations with Kronecker structure
The package implements efficient ways to evaluate and
solve equations of the form Ax=b, where A is a kronecker
product of matrices.  Functions to solve least squares problems
of this type are also included.
Orphaned on 2011-08-11 as requested by the original
maintainer, Tamas K Papp <tpapp@princeton.edu>.

An implementation of the blocking algorithm KLSH in Steorts, Ventura, Sadinle, Fienberg (2014) <DOI:10.1007/978-3-319-11257-2_20>, which is a k-means variant of locality sensitive hashing. The method is illustrated with examples and a vignette.

Used to create dynamic, interactive 'D3.js'
based parallel coordinates and principal component plots in 'R'.
The plots make visualizing k-means or other clusters simple and informative.
person("McKay", "Davis", email = "mckaymdavis@gmail.com", role = c("aut", "cre"))

Confidence intervals for the Kaplan-Meier estimator
Computes various confidence intervals for the Kaplan-Meier estimator, namely: Petos CI, Rothman CI, CI's based on Greenwoods variance, Thomas and Grunkemeier CI and the simultaneous confidence bands by Nair and Hall and Wellner.

Computes various confidence intervals for the Kaplan-Meier
estimator, namely: Petos CI, Rothman CI, CI's based on
Greenwoods variance, Thomas and Grunkemeier CI and the
simultaneous confidence bands by Nair and Hall and Wellner.

Confidence Intervals for the Kaplan-Meier Estimator
Computes various confidence intervals for the Kaplan-Meier
estimator, namely: Peto's CI, Rothman CI, CI's based on
Greenwood's variance, Thomas and Grunkemeier CI and the
simultaneous confidence bands by Nair and Hall and Wellner.

Computes various confidence intervals for the Kaplan-Meier estimator, namely: Petos CI, Rothman CI, CI´s based on Greenwoods variance, Thomas and Grunkemeier CI and the simultaneous confidence bands by Nair and Hall and Wellner.

Kaplan - Meier estimator with constraints for right censored
data -- a recursive computational algorithm
Yifan Yang <yifan.yang@uky.edu> , Mai Zhou<mai@ms.uky.edu>
Calculate NPMLE with constraints for right censored data. This package give a recursive computational algorithm for the "constrained" Kaplan- Meier estimator. The constraint is assumed given in linear estimating equations or mean functions. We also illustrate how this leads to the empirical likelihood ratio test with right censored data. EM algorithm (emplik) is used to get the initial value.
R (>= 2.13.1), compiler, rootSolve, emplik, Rcpp