Напиши все проблемы кода, все баги, все ошибки оптимизации, нерабочие моменты, ошибки в структуре кода, не единство в стиле кода. А затем исправь все это и напиши исправленный код.
```cpp
#include <iostream>
#include <vector>
#include <sstream>
#include <string>
#include <algorithm>
#include <stdexcept>
#include <cmath>
#include <limits>

using namespace std;

// Function to collect data from the user
static vector<int> collect_user_input() {
    cout << "Enter values separated by commas: ";
    string input;
    getline(cin, input);
    vector<int> values;
    stringstream ss(input);
    string value;

    while (getline(ss, value, ',')) {
        try {
            values.push_back(stoi(value));
        }
        catch (const invalid_argument&) {
            cout << "Incorrect: " << value << " is not a number." << endl;
            return {};
        }
        catch (const out_of_range&) {
            cout << "Number " << value << " is out of range." << endl;
            return {};
        }
    }

    return values;
}

// Function to estimate parameters for LCG
static void estimate_parameters(const vector<int>& values, double& a, double& c, int& m) {
    int n = values.size();
    if (n < 2) {
        throw invalid_argument("Not enough data to estimate parameters.");
    }

    double sum_x = 0.0, sum_y = 0.0, sum_xy = 0.0, sum_x2 = 0.0;

    for (int i = 0; i < n - 1; ++i) {
        sum_x += values[i];
        sum_y += values[i + 1];
        sum_xy += values[i] * values[i + 1];
        sum_x2 += values[i] * values[i];
    }

    // Calculate 'a' using linear regression
    a = (n * sum_xy - sum_x * sum_y) / (n * sum_x2 - sum_x * sum_x);

    // Calculate 'c' based on the first value
    c = values[0] - a * values[0];

    // Set 'm' to a prime number greater than the maximum value in the input
    m = *max_element(values.begin(), values.end()) + 1;
    if (m % 2 == 0) {
        m++; // Ensure m is odd
    }
}

// Function to generate a sequence using LCG
static vector<int> generate_lcg(double a, double c, int m, int seed, int count) {
    vector<int> lcg_values;
    int x = seed;

    for (int i = 0; i < count; ++i) {
        x = static_cast<int>((a * x + c)) % m;
        lcg_values.push_back(x);
    }

    return lcg_values;
}

// Function to validate the statistical properties of generated values
static bool validate_generated_values(const vector<int>& original, const vector<int>& generated) {
    // Check if the sizes are equal
    if (original.size() != generated.size()) {
        return false;
    }

    // Check for uniformity (basic check)
    vector<int> counts(*max_element(generated.begin(), generated.end()) + 1, 0);
    for (const int num : generated) {
        counts[num]++;
    }

    // Calculate the expected frequency
    double expected_frequency = static_cast<double>(generated.size()) / counts.size();
    for (const int count : counts) {
        if (abs(count - expected_frequency) > expected_frequency * 0.5) { // 10% tolerance
            return false;
        }
    }

    return true;
}

// Main function
int main() {
    // Collect user data
    vector<int> values = collect_user_input();
    if (values.empty()) {
        return 1; // Exit program on invalid input
    }

    // Estimate parameters
    double a, c;
    int m;
    try {
        estimate_parameters(values, a, c, m);
    }
    catch (const invalid_argument& e) {
        cout << "Error: " << e.what() << endl;
        return 1;
    }

    cout << "Estimated parameters: a = " << a << ", c = " << c << ", m = " << m << endl;

    // Generate sequence
    vector<int> generated_values = generate_lcg(a, c, m, values[0], values.size());
    cout << "Generated Numbers:" << endl;
    for (const int v : generated_values) {
        cout << v << " ";
    }
    cout << endl;

    // Validate generated values
    bool is_valid = validate_generated_values(values, generated_values);
    cout << "Validation Result: " << (is_valid ? "True" : "False") << endl;

    return 0;
}

```