my_vtruncnorm

Computes the variance of truncated normal distributions with
 parameters <code>a</code>, <code>b</code>, <code>mean</code>, and <code>sd</code>. Arguments can 
 be scalars, vectors, or matrices. Arguments of shorter length will be 
 recycled according to the usual recycling rules, but <code>a</code> and <code>b</code>
 must have the same length. Missing values are accepted for all arguments.

The R package 'ashr' implements an Empirical Bayes
approach for large-scale hypothesis testing and false discovery
rate (FDR) estimation based on the methods proposed in
M. Stephens, 2016, "False discovery rates: a new deal",
<DOI:10.1093/biostatistics/kxw041>. These methods can be applied
whenever two sets of summary statistics---estimated effects and
standard errors---are available, just as 'qvalue' can be applied
to previously computed p-values. Two main interfaces are
provided: ash(), which is more user-friendly; and ash.workhorse(),
which has more options and is geared toward advanced users. The
ash() and ash.workhorse() also provides a flexible modeling
interface that can accommodate a variety of likelihoods (e.g.,
normal, Poisson) and mixture priors (e.g., uniform, normal).

Peter Carbonetto

ashr

Methods for Adaptive Shrinkage, using Empirical Bayes

Matthew Stephens

Chaoxing Dai

David Gerard

Mengyin Lu

Lei Sun

Jason Willwerscheid

Nan Xiao

Mazon Zeng

my_vtruncnorm function

<dl><dt>a</dt>
<dd>The lower limit for the support of the truncated normal. Can be
<code>-Inf</code>.</dd>
<dt>b</dt>
<dd>The upper limit for the support. Can be <code>Inf</code>. <code>a</code> and 
<code>b</code> must have the same length, and each element of <code>a</code> should 
be less than or equal to the corresponding element of <code>b</code>.</dd>
<dt>mean</dt>
<dd>The mean of the untruncated normal.</dd>
<dt>sd</dt>
<dd>The standard deviation of the untruncated normal.</dd></dl>

Arguments

Variance of Truncated Normal — my_vtruncnorm

<dl>

<dt>a</dt>
<dd>The lower limit for the support of the truncated normal. Can be
<code>-Inf</code>.</dd>


<dt>b</dt>
<dd>The upper limit for the support. Can be <code>Inf</code>. <code>a</code> and 
<code>b</code> must have the same length, and each element of <code>a</code> should 
be less than or equal to the corresponding element of <code>b</code>.</dd>


<dt>mean</dt>
<dd>The mean of the untruncated normal.</dd>


<dt>sd</dt>
<dd>The standard deviation of the untruncated normal.</dd>

</dl>

Variance of Truncated Normal

my_vtruncnorm: Variance of Truncated Normal

Description

Usage

Value

Arguments

See Also