stan

Simple function to map a vector of values to the range of 0 and 1 values to have a better behavior of the algorithm.

Structural multivariate-univariate linear mixed model solver for estimation of multiple random effects with unknown variance-covariance structures (e.g., heterogeneous and unstructured) and known covariance among levels of random effects (e.g., pedigree and genomic relationship matrices) (Covarrubias-Pazaran, 2016 <doi:10.1371/journal.pone.0156744>; Maier et al., 2015 <doi:10.1016/j.ajhg.2014.12.006>; Jensen et al., 1997). REML estimates can be obtained using the Direct-Inversion Newton-Raphson and Direct-Inversion Average Information algorithms for the problems r x r (r being the number of records) or using the Henderson-based average information algorithm for the problem c x c (c being the number of coefficients to estimate). Spatial models can also be fitted using the two-dimensional spline functionality available.

Giovanny Covarrubias-Pazaran

sommer

Solving Mixed Model Equations in R

stan function

<dl> <dt>x</dt>
<dd>A vector of numeric values.</dd>
 <dt>lb</dt>
<dd>Lower bound value to map the x values.</dd>
 <dt>ub</dt>
<dd>Upper bound value to map the x values.</dd>
</dl>

Arguments

Standardize a vector of values in range 0 to 1 — stan

<dl>

 <dt>x</dt>
<dd>A vector of numeric values.</dd>


 <dt>lb</dt>
<dd>Lower bound value to map the x values.</dd>


 <dt>ub</dt>
<dd>Upper bound value to map the x values.</dd>


</dl>

stan: Standardize a vector of values in range 0 to 1

Description

Usage

Value

Arguments

Details

References

Examples