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       1.549e-02  1.114e-03    13.9   <2e-16 ***
r       3.290e-02  3.245e-05  1013.7   <2e-16 ***
kmercov 3.821e+01  5.324e-03  7177.8   <2e-16 ***
bias    6.826e-01  2.100e-03   325.0   <2e-16 ***
length  5.142e+06  3.662e+03  1404.3   <2e-16 ***
---
Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1 

Residual standard error: 476.9 on 925 degrees of freedom

Number of iterations to convergence: 6 
Achieved convergence tolerance: 3.092e-07