| calc2DOProb | Calculate probability for dropout model | 
| calc2NBProb | Calculate probability for negative binomial model | 
| calc2PoisProb | Calculate probability for Poisson model | 
| calcDOProb | Calculate probability for dropout model | 
| calcNBProb | Calculate probability for negative binomial model | 
| cbbinom.logl | Cost function for optimizing tau for spike-in data | 
| dBBNB | Probablity mass function of the distribution for observed... | 
| dbetabinom2 | dbetabinom function for non-integer input | 
| dbinom2 | dbinom function for non-integer input | 
| decent | DECENT | 
| dnbinom2 | dnbinom function for non-integer input | 
| dpois2 | dpois function for non-integer output | 
| draw.sample | Draw one sample from the given distribution | 
| Estep2ByGene | E-step with Gauss–Legendre quadrature approximation | 
| EstepByGene | E-step without Gauss–Legendre quadrature approximation | 
| fitNoDE | Fitting the unrestricted model with EM algorithm | 
| getImputed | Get imputed data | 
| getSImputed | Get imputed data | 
| loglI | Calculate Log Likelihood | 
| loglI2 | Calculate Log Likelihood | 
| loglI.GQ | Calculate Log Likelihood of Incomplete Data | 
| lrTest | Likelihood-ratio test | 
| MstepNB | M-step | 
| sim | Simulated data | 
| SImputeByGene | Perform single imputation for one gene using the fitted model | 
| update.rho | Cost function for optimizing tau using endogenous genes | 
| update.rho3 | Cost function for optimizing tau using endogenous genes | 
| zinbGrad | Gradient of complete data log-likelihood function for DECENT... | 
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