m.spline.x

The Statistical Package for REliability Data Analysis (SPREDA) implements recently-developed statistical methods for the analysis of reliability data. Modern technological developments, such as sensors and smart chips, allow us to dynamically track product/system usage as well as other environmental variables, such as temperature and humidity. We refer to these variables as dynamic covariates. The package contains functions for the analysis of time-to-event data with dynamic covariates and degradation data with dynamic covariates. The package also contains functions that can be used for analyzing time-to-event data with right censoring, and with left truncation and right censoring. Financial support from NSF and DuPont are acknowledged.

Yili Hong

SPREDA

Statistical Package for Reliability Data Analysis

Yimeng Xie

Zhibing Xu

m.spline.x function

<dl> <dt>x</dt>
<dd>a value of the covariate</dd> <dt>tt</dt>
<dd>values of knot sequence of the covariate</dd> <dt>i</dt>
<dd>the i_th M_spline function</dd> <dt>k</dt>
<dd>degree of the spline</dd></dl>

Arguments

Author

M_splines basis — m.spline.x

<dl>

 <dt>x</dt>
<dd>a value of the covariate</dd>

 <dt>tt</dt>
<dd>values of knot sequence of the covariate</dd>

 <dt>i</dt>
<dd>the i_th M_spline function</dd>

 <dt>k</dt>
<dd>degree of the spline</dd>

</dl>

m.spline.x: M_splines basis

Description

Usage

Value

Arguments

Author

References

See Also

Examples