twosamplesurvpvs

Returns the Kolmogorov-Smirnov and Anderson-Darling test statistics for two right-censored data sets.

A collection of multivariate nonparametric methods, selected in part to support an MS level course in nonparametric statistical methods. Methods include adjustments for multiple comparisons, implementation of multivariate Mann-Whitney-Wilcoxon testing, inversion of these tests to produce a confidence region, some permutation tests for linear models, and some algorithms for calculating exact probabilities associated with one- and two- stage testing involving Mann-Whitney-Wilcoxon statistics. Supported by grant NSF DMS 1712839. See Kolassa and Seifu (2013) <doi:10.1016/j.acra.2013.03.006>.

John E Kolassa

MultNonParam

Multivariate Nonparametric Methods

John E. Kolassa

Stephane Jankowski

twosamplesurvpvs function

<dl><dt>times</dt>
<dd>Event and censoring times</dd>
<dt>delta</dt>
<dd>Indicator of event (1) or censoring (0).</dd>
<dt>grp</dt>
<dd>Variable that divides the population into groups.</dd>
<dt>nmc</dt>
<dd>Number of Monte Carlo samples for p value calculation</dd>
<dt>plotme</dt>
<dd>logical; indicates whether to plot or not.</dd>
<dt>exact</dt>
<dd>logical; indicates whether to use exhaustive enumeration of permutations or not.</dd></dl>

Arguments

Two Sample Omnibus Tests of Survival Curves — twosamplesurvpvs

<dl>

<dt>times</dt>
<dd>Event and censoring times</dd>


<dt>delta</dt>
<dd>Indicator of event (1) or censoring (0).</dd>


<dt>grp</dt>
<dd>Variable that divides the population into groups.</dd>


<dt>nmc</dt>
<dd>Number of Monte Carlo samples for p value calculation</dd>


<dt>plotme</dt>
<dd>logical; indicates whether to plot or not.</dd>


<dt>exact</dt>
<dd>logical; indicates whether to use exhaustive enumeration of permutations or not.</dd>

</dl>

twosamplesurvpvs: Two Sample Omnibus Tests of Survival Curves

Description

Usage

Value

Arguments

Details

Examples