UPDATE: Adds 56 functions in the Statistical section

Uses statrs for numerical functions

REFACTOR: Put statistical functions on its own module

This might seem counter-intuitive but the wasm build after this refactor
is 1528 bytes smaller :)

base/src/functions/statistical/log_normal.rs

@@ -0,0 +1,124 @@
+use statrs::distribution::{Continuous, ContinuousCDF, LogNormal};
+
+use crate::expressions::types::CellReferenceIndex;
+use crate::{
+    calc_result::CalcResult, expressions::parser::Node, expressions::token::Error, model::Model,
+};
+
+impl Model {
+    pub(crate) fn fn_log_norm_dist(
+        &mut self,
+        args: &[Node],
+        cell: CellReferenceIndex,
+    ) -> CalcResult {
+        if args.len() != 4 {
+            return CalcResult::new_args_number_error(cell);
+        }
+
+        let x = match self.get_number_no_bools(&args[0], cell) {
+            Ok(f) => f,
+            Err(e) => return e,
+        };
+        let mean = match self.get_number_no_bools(&args[1], cell) {
+            Ok(f) => f,
+            Err(e) => return e,
+        };
+        let std_dev = match self.get_number_no_bools(&args[2], cell) {
+            Ok(f) => f,
+            Err(e) => return e,
+        };
+        let cumulative = match self.get_boolean(&args[3], cell) {
+            Ok(b) => b,
+            Err(e) => return e,
+        };
+
+        // Excel domain checks
+        if x <= 0.0 || std_dev <= 0.0 {
+            return CalcResult::Error {
+                error: Error::NUM,
+                origin: cell,
+                message: "Invalid parameter for LOGNORM.DIST".to_string(),
+            };
+        }
+
+        let dist = match LogNormal::new(mean, std_dev) {
+            Ok(d) => d,
+            Err(_) => {
+                return CalcResult::Error {
+                    error: Error::NUM,
+                    origin: cell,
+                    message: "Invalid parameter for LOGNORM.DIST".to_string(),
+                }
+            }
+        };
+
+        let result = if cumulative { dist.cdf(x) } else { dist.pdf(x) };
+
+        if !result.is_finite() {
+            return CalcResult::Error {
+                error: Error::NUM,
+                origin: cell,
+                message: "Invalid parameter for LOGNORM.DIST".to_string(),
+            };
+        }
+
+        CalcResult::Number(result)
+    }
+
+    pub(crate) fn fn_log_norm_inv(
+        &mut self,
+        args: &[Node],
+        cell: CellReferenceIndex,
+    ) -> CalcResult {
+        use statrs::distribution::{ContinuousCDF, LogNormal};
+
+        if args.len() != 3 {
+            return CalcResult::new_args_number_error(cell);
+        }
+
+        let p = match self.get_number_no_bools(&args[0], cell) {
+            Ok(f) => f,
+            Err(e) => return e,
+        };
+        let mean = match self.get_number_no_bools(&args[1], cell) {
+            Ok(f) => f,
+            Err(e) => return e,
+        };
+        let std_dev = match self.get_number_no_bools(&args[2], cell) {
+            Ok(f) => f,
+            Err(e) => return e,
+        };
+
+        // Excel domain checks
+        if p <= 0.0 || p >= 1.0 || std_dev <= 0.0 {
+            return CalcResult::Error {
+                error: Error::NUM,
+                origin: cell,
+                message: "Invalid parameter for LOGNORM.INV".to_string(),
+            };
+        }
+
+        let dist = match LogNormal::new(mean, std_dev) {
+            Ok(d) => d,
+            Err(_) => {
+                return CalcResult::Error {
+                    error: Error::NUM,
+                    origin: cell,
+                    message: "Invalid parameter for LOGNORM.INV".to_string(),
+                }
+            }
+        };
+
+        let result = dist.inverse_cdf(p);
+
+        if !result.is_finite() {
+            return CalcResult::Error {
+                error: Error::NUM,
+                origin: cell,
+                message: "Invalid parameter for LOGNORM.INV".to_string(),
+            };
+        }
+
+        CalcResult::Number(result)
+    }
+}