rowMSD

Calculates the sample mean and standard deviation for each row in a matrix. The mean vector is calculated first. The elements of the matrix are then centered by the mean vector before the sample standard deviation is calculated.

Various functions for discrete time survival analysis and longitudinal analysis. SIMEX method for correcting for bias for errors-in-variables
in a mixed effects model. Asymptotic mean and variance of different proportional hazards test statistics using different ties methods given two
survival curves and censoring distributions. Score test and Wald test for regression analysis of grouped survival data. Calculation of survival
curves for events defined by the response variable in a mixed effects model crossing a threshold with or without confirmation.

John Lawrence

SurvDisc

Discrete Time Survival and Longitudinal Data Analysis

Jianjin Xu

Sue Jane Wang

Jim Hung

rowMSD function

<dl> <dt>x</dt>
<dd>numeric matrix</dd></dl>

Arguments

Author

Mean and Standard Deviation estimates for each row in a matrix — rowMSD

<dl>

 <dt>x</dt>
<dd>numeric matrix</dd>

</dl>

rowMSD: Mean and Standard Deviation estimates for each row in a matrix

Description

Usage

Value

Arguments

Author

Examples