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       7.781e-04  1.764e-03    0.441    0.659    
r       4.728e-03  3.223e-05  146.683   <2e-16 ***
kmercov 3.669e+01  1.907e-02 1924.124   <2e-16 ***
bias    2.554e+00  1.574e-02  162.301   <2e-16 ***
length  5.367e+08  1.067e+06  503.180   <2e-16 ***
---
Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1 

Residual standard error: 92470 on 980 degrees of freedom

Number of iterations to convergence: 8 
Achieved convergence tolerance: 4.203e-06