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       3.019e-02  3.878e-04    77.84   <2e-16 ***
r       1.038e-02  1.118e-05   927.93   <2e-16 ***
kmercov 2.215e+01  2.199e-03 10075.36   <2e-16 ***
bias    4.464e-01  1.270e-03   351.64   <2e-16 ***
length  1.064e+08  4.464e+04  2384.40   <2e-16 ***
---
Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1 

Residual standard error: 5285 on 972 degrees of freedom

Number of iterations to convergence: 5 
Achieved convergence tolerance: 6.001e-07