igamma

Evaluate an incomplete gamma function:
$$\gamma(a, x) = \int_{0}^{x} t^{a-1} e^{-t}dt,$$
using SLATEC <code>dgami</code> in <a href="https://netlib.org/slatec/">https://netlib.org/slatec/</a>.
When ($x &gt; 0$ and $a \ge 0$) or ($x \ge 0$ and $a &gt; 0$),
compute the result, otherwise the value is <code>NaN</code>.

The models of probability density functions are Gaussian or
exponential distributions with polynomial correction terms.
Using a maximum likelihood method, 'dsdp' computes parameters of Gaussian
or exponential distributions together with degrees of polynomials by
a grid search, and coefficient of polynomials by a variant of semidefinite
programming. It adopts Akaike Information Criterion for model selection.
See a vignette for a tutorial and more on our 'Github' repository
<https://github.com/tsuchiya-lab/dsdp/>.

Satoshi Kakihara

dsdp

Density Estimation with Semidefinite Programming

Takashi Tsuchiya

igamma function

<dl><dt>a</dt>
<dd>A positive numeric vector.</dd>
<dt>x</dt>
<dd>A nonnegative numeric vector with same length as <code>a</code>.
length.</dd></dl>

Arguments

Evaluate an incomplete gamma function:
$$\gamma(a, x) = \int_{0}^{x} t^{a-1} e^{-t}dt,$$
using SLATEC <code>dgami</code> in <a href='https://netlib.org/slatec/'>https://netlib.org/slatec/</a>.
When ($x &gt; 0$ and $a \ge 0$) or ($x \ge 0$ and $a &gt; 0$),
compute the result, otherwise the value is <code>NaN</code>.

Incomplete Gamma Function — igamma

<dl>

<dt>a</dt>
<dd>A positive numeric vector.</dd>


<dt>x</dt>
<dd>A nonnegative numeric vector with same length as <code>a</code>.
length.</dd>

</dl>

igamma: Incomplete Gamma Function

Description

Usage

Value

Arguments

See Also

Examples