docs: update REPL namespace documentation

lib/node_modules/@stdlib/repl/help/data/data.csv

@@ -658,7 +658,7 @@ base.dists.invgamma.mean,"\nbase.dists.invgamma.mean( α, β )\n    Returns the
 base.dists.invgamma.mode,"\nbase.dists.invgamma.mode( α, β )\n    Returns the mode of an inverse gamma distribution.\n\n    If `α <= 0` or `β <= 0`, the function returns `NaN`.\n\n    If `α` or `β` is `NaN`, the function returns `NaN`.\n\n    Parameters\n    ----------\n    α: number\n        Shape parameter.\n\n    β: number\n        Rate parameter.\n\n    Returns\n    -------\n    out: number\n        Mode.\n\n    Examples\n    --------\n    > var v = base.dists.invgamma.mode( 1.0, 1.0 )\n    0.5\n    > v = base.dists.invgamma.mode( 4.0, 12.0 )\n    2.4\n    > v = base.dists.invgamma.mode( 8.0, 2.0 )\n    ~0.222\n\n"
 base.dists.invgamma.pdf,"\nbase.dists.invgamma.pdf( x, α, β )\n    Evaluates the probability density function (PDF) for an inverse gamma\n    distribution with shape parameter `α` and scale parameter `β` at a value\n    `x`.\n\n    If `α <= 0` or `β <= 0`, the function returns `NaN`.\n\n    If provided `NaN` as any argument, the function returns `NaN`.\n\n    Parameters\n    ----------\n    x: number\n        Input value.\n\n    α: number\n        Shape parameter.\n\n    β: number\n        Scale parameter.\n\n    Returns\n    -------\n    out: number\n        Evaluated PDF.\n\n    Examples\n    --------\n    > var y = base.dists.invgamma.pdf( 2.0, 0.5, 1.0 )\n    ~0.121\n    > y = base.dists.invgamma.pdf( 0.2, 1.0, 1.0 )\n    ~0.168\n    > y = base.dists.invgamma.pdf( -1.0, 4.0, 2.0 )\n    0.0\n\n    > y = base.dists.invgamma.pdf( NaN, 1.0, 1.0 )\n    NaN\n    > y = base.dists.invgamma.pdf( 0.0, NaN, 1.0 )\n    NaN\n    > y = base.dists.invgamma.pdf( 0.0, 1.0, NaN )\n    NaN\n\n    // Negative shape parameter:\n    > y = base.dists.invgamma.pdf( 2.0, -1.0, 1.0 )\n    NaN\n\n    // Negative scale parameter:\n    > y = base.dists.invgamma.pdf( 2.0, 1.0, -1.0 )\n    NaN\n\n\nbase.dists.invgamma.pdf.factory( α, β )\n    Returns a function for evaluating the probability density function (PDF)\n    of an inverse gamma distribution with shape parameter `α` and scale\n    parameter `β`.\n\n    Parameters\n    ----------\n    α: number\n        Shape parameter.\n\n    β: number\n        Scale parameter.\n\n    Returns\n    -------\n    pdf: Function\n        Probability density function (PDF).\n\n    Examples\n    --------\n    > var myPDF = base.dists.invgamma.pdf.factory( 6.0, 7.0 );\n    > var y = myPDF( 2.0 )\n    ~0.231\n\n"
 base.dists.invgamma.pdf.factory,"\nbase.dists.invgamma.pdf.factory( α, β )\n    Returns a function for evaluating the probability density function (PDF)\n    of an inverse gamma distribution with shape parameter `α` and scale\n    parameter `β`.\n\n    Parameters\n    ----------\n    α: number\n        Shape parameter.\n\n    β: number\n        Scale parameter.\n\n    Returns\n    -------\n    pdf: Function\n        Probability density function (PDF).\n\n    Examples\n    --------\n    > var myPDF = base.dists.invgamma.pdf.factory( 6.0, 7.0 );\n    > var y = myPDF( 2.0 )\n    ~0.231"
-base.dists.invgamma.quantile,"\nbase.dists.invgamma.quantile( p, α, β )\n    Evaluates the quantile function for an inverse gamma distribution with shape\n    parameter `α` and scale parameter `β` at a probability `p`.\n\n    If `p < 0` or `p > 1`, the function returns `NaN`.\n\n    If `α <= 0` or `β <= 0`, the function returns `NaN`.\n\n    If provided `NaN` as any argument, the function returns `NaN`.\n\n    Parameters\n    ----------\n    p: number\n        Input probability.\n\n    α: number\n        Shape parameter.\n\n    β: number\n        Scale parameter.\n\n    Returns\n    -------\n    out: number\n        Evaluated quantile function.\n\n    Examples\n    --------\n    > var y = base.dists.invgamma.quantile( 0.8, 2.0, 1.0 )\n    ~1.213\n    > y = base.dists.invgamma.quantile( 0.5, 4.0, 2.0 )\n    ~0.545\n    > y = base.dists.invgamma.quantile( 1.1, 1.0, 1.0 )\n    NaN\n    > y = base.dists.invgamma.quantile( -0.2, 1.0, 1.0 )\n    NaN\n\n    > y = base.dists.invgamma.quantile( NaN, 1.0, 1.0 )\n    NaN\n    > y = base.dists.invgamma.quantile( 0.0, NaN, 1.0 )\n    NaN\n    > y = base.dists.invgamma.quantile( 0.0, 1.0, NaN )\n    NaN\n\n    // Non-positive shape parameter:\n    > y = base.dists.invgamma.quantile( 0.5, -1.0, 1.0 )\n    NaN\n\n    // Non-positive rate parameter:\n    > y = base.dists.invgamma.quantile( 0.5, 1.0, -1.0 )\n    NaN\n\n\nbase.dists.invgamma.quantile.factory( α, β )\n    Returns a function for evaluating the quantile function of an inverse gamma\n    distribution with shape parameter `α` and scale parameter `β`.\n\n    Parameters\n    ----------\n    α: number\n        Shape parameter.\n\n    β: number\n        Scale parameter.\n\n    Returns\n    -------\n    quantile: Function\n        Quantile function.\n\n    Examples\n    --------\n    > var myQuantile = base.dists.invgamma.quantile.factory( 2.0, 2.0 );\n    > var y = myQuantile( 0.8 )\n    ~2.426\n    > y = myQuantile( 0.4 )\n    ~0.989\n\n"
+base.dists.invgamma.quantile,"\nbase.dists.invgamma.quantile( p, α, β )\n    Evaluates the quantile function for an inverse gamma distribution with shape\n    parameter `α` and scale parameter `β` at a probability `p`.\n\n    If `p < 0` or `p > 1`, the function returns `NaN`.\n\n    If `α <= 0` or `β <= 0`, the function returns `NaN`.\n\n    If provided `NaN` as any argument, the function returns `NaN`.\n\n    Parameters\n    ----------\n    p: number\n        Input probability.\n\n    α: number\n        Shape parameter.\n\n    β: number\n        Scale parameter.\n\n    Returns\n    -------\n    out: number\n        Evaluated quantile function.\n\n    Examples\n    --------\n    > var y = base.dists.invgamma.quantile( 0.8, 2.0, 1.0 )\n    ~1.213\n    > y = base.dists.invgamma.quantile( 0.5, 4.0, 2.0 )\n    ~0.545\n    > y = base.dists.invgamma.quantile( 1.1, 1.0, 1.0 )\n    NaN\n    > y = base.dists.invgamma.quantile( -0.2, 1.0, 1.0 )\n    NaN\n\n    > y = base.dists.invgamma.quantile( NaN, 1.0, 1.0 )\n    NaN\n    > y = base.dists.invgamma.quantile( 0.0, NaN, 1.0 )\n    NaN\n    > y = base.dists.invgamma.quantile( 0.0, 1.0, NaN )\n    NaN\n\n    // Non-positive shape parameter:\n    > y = base.dists.invgamma.quantile( 0.5, -1.0, 1.0 )\n    NaN\n\n    // Non-positive scale parameter:\n    > y = base.dists.invgamma.quantile( 0.5, 1.0, -1.0 )\n    NaN\n\n\nbase.dists.invgamma.quantile.factory( α, β )\n    Returns a function for evaluating the quantile function of an inverse gamma\n    distribution with shape parameter `α` and scale parameter `β`.\n\n    Parameters\n    ----------\n    α: number\n        Shape parameter.\n\n    β: number\n        Scale parameter.\n\n    Returns\n    -------\n    quantile: Function\n        Quantile function.\n\n    Examples\n    --------\n    > var myQuantile = base.dists.invgamma.quantile.factory( 2.0, 2.0 );\n    > var y = myQuantile( 0.8 )\n    ~2.426\n    > y = myQuantile( 0.4 )\n    ~0.989\n\n"
 base.dists.invgamma.quantile.factory,"\nbase.dists.invgamma.quantile.factory( α, β )\n    Returns a function for evaluating the quantile function of an inverse gamma\n    distribution with shape parameter `α` and scale parameter `β`.\n\n    Parameters\n    ----------\n    α: number\n        Shape parameter.\n\n    β: number\n        Scale parameter.\n\n    Returns\n    -------\n    quantile: Function\n        Quantile function.\n\n    Examples\n    --------\n    > var myQuantile = base.dists.invgamma.quantile.factory( 2.0, 2.0 );\n    > var y = myQuantile( 0.8 )\n    ~2.426\n    > y = myQuantile( 0.4 )\n    ~0.989"
 base.dists.invgamma.skewness,"\nbase.dists.invgamma.skewness( α, β )\n    Returns the skewness of an inverse gamma distribution.\n\n    If `α <= 3` or `β <= 0`, the function returns `NaN`.\n\n    If `α` or `β` is `NaN`, the function returns `NaN`.\n\n    Parameters\n    ----------\n    α: number\n        Shape parameter.\n\n    β: number\n        Rate parameter.\n\n    Returns\n    -------\n    out: number\n        Skewness.\n\n    Examples\n    --------\n    > var v = base.dists.invgamma.skewness( 4.0, 12.0 )\n    ~5.657\n    > v = base.dists.invgamma.skewness( 8.0, 2.0 )\n    ~1.96\n\n"
 base.dists.invgamma.stdev,"\nbase.dists.invgamma.stdev( α, β )\n    Returns the standard deviation of an inverse gamma distribution.\n\n    If `α <= 2` or `β <= 0`, the function returns `NaN`.\n\n    If `α` or `β` is `NaN`, the function returns `NaN`.\n\n    Parameters\n    ----------\n    α: number\n        Shape parameter.\n\n    β: number\n        Rate parameter.\n\n    Returns\n    -------\n    out: number\n        Standard deviation.\n\n    Examples\n    --------\n    > var v = base.dists.invgamma.stdev( 5.0, 7.0 )\n    ~1.01\n    > v = base.dists.invgamma.stdev( 4.0, 12.0 )\n    ~2.828\n    > v = base.dists.invgamma.stdev( 8.0, 2.0 )\n    ~0.117\n\n"