Vendor/phpspreadsheet/phpoffice/phpspreadsheet/src/PhpSpreadsheet/Calculation/Statistical.php
public static function LOGINV($probability, $mean, $stdDev)
    {
        $probability = Functions::flattenSingleValue($probability);
        $mean = Functions::flattenSingleValue($mean);
        $stdDev = Functions::flattenSingleValue($stdDev);

        if ((is_numeric($probability)) && (is_numeric($mean)) && (is_numeric($stdDev))) {
            if (($probability < 0) || ($probability > 1) || ($stdDev <= 0)) {
                return Functions::NAN();
            }

            return exp($mean + $stdDev * self::NORMSINV($probability));
        }

        return Functions::VALUE();
    }
public static function LOGINV($probability, $mean, $stdDev)
    {
        $probability = Functions::flattenSingleValue($probability);
        $mean = Functions::flattenSingleValue($mean);
        $stdDev = Functions::flattenSingleValue($stdDev);

        if ((is_numeric($probability)) && (is_numeric($mean)) && (is_numeric($stdDev))) {
            if (($probability < 0) || ($probability > 1) || ($stdDev <= 0)) {
                return Functions::NAN();
            }

            return exp($mean + $stdDev * self::NORMSINV($probability));
        }

        return Functions::VALUE();
    }
LOGINV.

Returns the inverse of the normal cumulative distribution

@param float $probability
@param float $mean
@param float $stdDev

@return float

@todo    Try implementing P J Acklam's refinement algorithm for greater
accuracy if I can get my head round the mathematics
(as described at) http://home.online.no/~pjacklam/notes/invnorm/