Formula: y ~ (((2 * (1 - d) * (1 - (1 - r)^k)) + (2 * d * (1 - (1 - r)^k)^2) + 
    (2 * d * ((1 - r)^k) * (1 - (1 - r)^k))) * dnbinom(x, size = kmercov/bias, 
    mu = kmercov) * length + (((1 - d) * ((1 - r)^k)) + (d * 
    (1 - (1 - r)^k)^2)) * dnbinom(x, size = kmercov * 2/bias, 
    mu = kmercov * 2) * length + (2 * d * ((1 - r)^k) * (1 - 
    (1 - r)^k)) * dnbinom(x, size = kmercov * 3/bias, mu = kmercov * 
    3) * length + (d * (1 - r)^(2 * k)) * dnbinom(x, size = kmercov * 
    4/bias, mu = kmercov * 4) * length)

Parameters:
         Estimate Std. Error  t value Pr(>|t|)    
d       7.824e-03  1.618e-03    4.836 1.58e-06 ***
r       3.156e-02  4.584e-05  688.444  < 2e-16 ***
kmercov 3.802e+01  8.224e-03 4622.543  < 2e-16 ***
bias    7.425e-01  3.344e-03  222.009  < 2e-16 ***
length  4.832e+06  5.101e+03  947.298  < 2e-16 ***
---
Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1 

Residual standard error: 654 on 835 degrees of freedom

Number of iterations to convergence: 6 
Achieved convergence tolerance: 2.799e-06