@@ -380,6 +380,8 @@ and scale `sigma` dropping constant additive terms.
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## Exponentially modified normal distribution
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+ Exponentially modified Gaussian describes the distribution of $Z = X + Y$ when $X$ and $Y$ are independent and $X$ is normally distributed (with mean $\mu$ and standard deviation $\sigma$) and $Y$ is exponentially distributed (with rate $\lambda$).
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### Probability density function
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If $\mu \in \mathbb{R}$, $\sigma \in \mathbb{R}^+$, and $\lambda \in
@@ -405,39 +407,39 @@ Increment target log probability density with `exp_mod_normal_lupdf(y | mu, sigm
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` real ` ** ` exp_mod_normal_lpdf ` ** ` (reals y | reals mu, reals sigma, reals lambda) ` <br >\newline
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The log of the exponentially modified normal density of y given
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- location mu, scale sigma, and shape lambda
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+ location mu, scale sigma, and rate lambda
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{{< since 2.18 >}}
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<!-- real; exp_mod_normal_lupdf; (reals y | reals mu, reals sigma, reals lambda); -->
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\index{{\tt \bfseries exp\_ mod\_ normal\_ lupdf }!{\tt (reals y \textbar\ reals mu, reals sigma, reals lambda): real}|hyperpage}
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` real ` ** ` exp_mod_normal_lupdf ` ** ` (reals y | reals mu, reals sigma, reals lambda) ` <br >\newline
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The log of the exponentially modified normal density of y given
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- location mu, scale sigma, and shape lambda dropping constant additive terms
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+ location mu, scale sigma, and rate lambda dropping constant additive terms
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{{< since 2.25 >}}
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<!-- real; exp_mod_normal_cdf; (reals y | reals mu, reals sigma, reals lambda); -->
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\index{{\tt \bfseries exp\_ mod\_ normal\_ cdf }!{\tt (reals y \textbar\ reals mu, reals sigma, reals lambda): real}|hyperpage}
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` real ` ** ` exp_mod_normal_cdf ` ** ` (reals y | reals mu, reals sigma, reals lambda) ` <br >\newline
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The exponentially modified normal cumulative distribution function of
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- y given location mu, scale sigma, and shape lambda
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+ y given location mu, scale sigma, and rate lambda
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{{< since 2.0 >}}
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<!-- real; exp_mod_normal_lcdf; (reals y | reals mu, reals sigma, reals lambda); -->
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\index{{\tt \bfseries exp\_ mod\_ normal\_ lcdf }!{\tt (reals y \textbar\ reals mu, reals sigma, reals lambda): real}|hyperpage}
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` real ` ** ` exp_mod_normal_lcdf ` ** ` (reals y | reals mu, reals sigma, reals lambda) ` <br >\newline
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The log of the exponentially modified normal cumulative distribution
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- function of y given location mu, scale sigma, and shape lambda
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+ function of y given location mu, scale sigma, and rate lambda
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{{< since 2.18 >}}
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<!-- real; exp_mod_normal_lccdf; (reals y | reals mu, reals sigma, reals lambda); -->
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\index{{\tt \bfseries exp\_ mod\_ normal\_ lccdf }!{\tt (reals y \textbar\ reals mu, reals sigma, reals lambda): real}|hyperpage}
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` real ` ** ` exp_mod_normal_lccdf ` ** ` (reals y | reals mu, reals sigma, reals lambda) ` <br >\newline
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The log of the exponentially modified normal complementary cumulative
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- distribution function of y given location mu, scale sigma, and shape
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+ distribution function of y given location mu, scale sigma, and rate
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lambda
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{{< since 2.18 >}}
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@@ -446,7 +448,7 @@ lambda
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` R ` ** ` exp_mod_normal_rng ` ** ` (reals mu, reals sigma, reals lambda) ` <br >\newline
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Generate a exponentially modified normal variate with location mu,
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- scale sigma, and shape lambda; may only be used in transformed data and generated
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+ scale sigma, and rate lambda; may only be used in transformed data and generated
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quantities blocks. For a description of argument and return types, see
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section [ vectorized PRNG functions] ( conventions_for_probability_functions.qmd#prng-vectorization ) .
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{{< since 2.18 >}}
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