docs: update REPL namespace documentation

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

@@ -868,7 +868,7 @@ base.dists.studentizedRange.quantile,"\nbase.dists.studentizedRange.quantile( p,
 base.dists.studentizedRange.quantile.factory,"\nbase.dists.studentizedRange.quantile.factory( r, v[, nranges] )\n    Returns a function for evaluating the quantile function of a studentized\n    range distribution.\n\n    Parameters\n    ----------\n    r: number\n        Sample size for range (same for each group).\n\n    v: number\n        Degrees of freedom.\n\n    nranges: integer\n        Number of groups whose maximum range is considered. Default: 1.\n\n    Returns\n    -------\n    quantile: Function\n        Quantile function.\n\n    Examples\n    --------\n    > var myQuantile = quantile.factory( 3.0, 3.0 );\n    > var y = myQuantile( 0.5 )\n   ~1.791\n\n    > y = myQuantile( 0.8 )\n   ~3.245"
 base.dists.t.cdf,"\nbase.dists.t.cdf( x, v )\n    Evaluates the cumulative distribution function (CDF) for a Student's t\n    distribution with degrees of freedom `v` at a value `x`.\n\n    If provided `NaN` as any argument, the function returns `NaN`.\n\n    If provided a non-positive value for `v`, the function returns `NaN`.\n\n    Parameters\n    ----------\n    x: number\n        Input value.\n\n    v: number\n        Degrees of freedom.\n\n    Returns\n    -------\n    out: number\n        Evaluated CDF.\n\n    Examples\n    --------\n    > var y = base.dists.t.cdf( 2.0, 0.1 )\n    ~0.611\n    > y = base.dists.t.cdf( 1.0, 2.0 )\n    ~0.789\n    > y = base.dists.t.cdf( -1.0, 4.0 )\n    ~0.187\n    > y = base.dists.t.cdf( NaN, 1.0 )\n    NaN\n    > y = base.dists.t.cdf( 0.0, NaN )\n    NaN\n    > y = base.dists.t.cdf( 2.0, -1.0 )\n    NaN\n\n\nbase.dists.t.cdf.factory( v )\n    Returns a function for evaluating the cumulative distribution function (CDF)\n    of a Student's t distribution with degrees of freedom `v`.\n\n    Parameters\n    ----------\n    v: number\n        Degrees of freedom.\n\n    Returns\n    -------\n    cdf: Function\n        Cumulative distribution function (CDF).\n\n    Examples\n    --------\n    > var mycdf = base.dists.t.cdf.factory( 0.5 );\n    > var y = mycdf( 3.0 )\n    ~0.816\n    > y = mycdf( 1.0 )\n    ~0.699\n\n"
 base.dists.t.cdf.factory,"\nbase.dists.t.cdf.factory( v )\n    Returns a function for evaluating the cumulative distribution function (CDF)\n    of a Student's t distribution with degrees of freedom `v`.\n\n    Parameters\n    ----------\n    v: number\n        Degrees of freedom.\n\n    Returns\n    -------\n    cdf: Function\n        Cumulative distribution function (CDF).\n\n    Examples\n    --------\n    > var mycdf = base.dists.t.cdf.factory( 0.5 );\n    > var y = mycdf( 3.0 )\n    ~0.816\n    > y = mycdf( 1.0 )\n    ~0.699"
-base.dists.t.entropy,"\nbase.dists.t.entropy( v )\n    Returns the differential entropy of a Student's t distribution.\n\n    If provided `NaN` as any argument, the function returns `NaN`.\n\n    If provided `v < 0`, the function returns `NaN`.\n\n    Parameters\n    ----------\n    v: number\n        Degrees of freedom.\n\n    Returns\n    -------\n    out: number\n        Entropy.\n\n    Examples\n    --------\n    > var v = base.dists.t.entropy( 11.0 )\n    ~1.512\n    > v = base.dists.t.entropy( 4.5 )\n    ~1.652\n\n"
+base.dists.t.entropy,"\nbase.dists.t.entropy( v )\n    Returns the differential entropy of a Student's t distribution.\n\n    If provided `NaN` as any argument, the function returns `NaN`.\n\n    If provided `v <= 0`, the function returns `NaN`.\n\n    Parameters\n    ----------\n    v: number\n        Degrees of freedom.\n\n    Returns\n    -------\n    out: number\n        Entropy.\n\n    Examples\n    --------\n    > var v = base.dists.t.entropy( 11.0 )\n    ~1.512\n    > v = base.dists.t.entropy( 4.5 )\n    ~1.652\n\n"
 base.dists.t.kurtosis,"\nbase.dists.t.kurtosis( v )\n    Returns the excess kurtosis of a Student's t distribution.\n\n    If provided `NaN` as any argument, the function returns `NaN`.\n\n    If provided `v <= 2`, the function returns `NaN`.\n\n    If provided `2 < v <= 4`, the function returns positive infinity.\n\n    Parameters\n    ----------\n    v: number\n        Degrees of freedom.\n\n    Returns\n    -------\n    out: number\n        Excess kurtosis.\n\n    Examples\n    --------\n    > var v = base.dists.t.kurtosis( 11.0 )\n    ~0.857\n    > v = base.dists.t.kurtosis( 4.5 )\n    12.0\n\n"
 base.dists.t.logcdf,"\nbase.dists.t.logcdf( x, v )\n    Evaluates the natural logarithm of the cumulative distribution function\n    (CDF) for a Student's t distribution with degrees of freedom `v` at a value\n    `x`.\n\n    If provided `NaN` as any argument, the function returns `NaN`.\n\n    If provided a non-positive value for `v`, the function returns `NaN`.\n\n    Parameters\n    ----------\n    x: number\n        Input value.\n\n    v: number\n        Degrees of freedom.\n\n    Returns\n    -------\n    out: number\n        Evaluated logCDF.\n\n    Examples\n    --------\n    > var y = base.dists.t.logcdf( 2.0, 0.1 )\n    ~-0.493\n    > y = base.dists.t.logcdf( 1.0, 2.0 )\n    ~-0.237\n    > y = base.dists.t.logcdf( -1.0, 4.0 )\n    ~-1.677\n    > y = base.dists.t.logcdf( NaN, 1.0 )\n    NaN\n    > y = base.dists.t.logcdf( 0.0, NaN )\n    NaN\n    > y = base.dists.t.logcdf( 2.0, -1.0 )\n    NaN\n\n\nbase.dists.t.logcdf.factory( v )\n    Returns a function for evaluating the natural logarithm of the cumulative\n    distribution function (CDF) of a Student's t distribution with degrees of\n    freedom `v`.\n\n    Parameters\n    ----------\n    v: number\n        Degrees of freedom.\n\n    Returns\n    -------\n    logcdf: Function\n        Logarithm of cumulative distribution function (CDF).\n\n    Examples\n    --------\n    > var mylogcdf = base.dists.t.logcdf.factory( 0.5 );\n    > var y = mylogcdf( 3.0 )\n    ~-0.203\n    > y = mylogcdf( 1.0 )\n    ~-0.358\n\n"
 base.dists.t.logcdf.factory,"\nbase.dists.t.logcdf.factory( v )\n    Returns a function for evaluating the natural logarithm of the cumulative\n    distribution function (CDF) of a Student's t distribution with degrees of\n    freedom `v`.\n\n    Parameters\n    ----------\n    v: number\n        Degrees of freedom.\n\n    Returns\n    -------\n    logcdf: Function\n        Logarithm of cumulative distribution function (CDF).\n\n    Examples\n    --------\n    > var mylogcdf = base.dists.t.logcdf.factory( 0.5 );\n    > var y = mylogcdf( 3.0 )\n    ~-0.203\n    > y = mylogcdf( 1.0 )\n    ~-0.358"