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       1.149e-02  6.318e-04   18.18   <2e-16 ***
r       2.198e-02  1.515e-05 1450.69   <2e-16 ***
kmercov 3.714e+01  4.207e-03 8828.19   <2e-16 ***
bias    9.076e-01  1.798e-03  504.74   <2e-16 ***
length  4.835e+06  2.421e+03 1997.04   <2e-16 ***
---
Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1 

Residual standard error: 274.8 on 970 degrees of freedom

Number of iterations to convergence: 6 
Achieved convergence tolerance: 4.119e-07