pBPi: Compute the probability distribution function (pdf) of an...

In nghiavtr/BPSC: Beta-Poisson Model for Single-Cell RNA-seq Data Analyses

Description

Compute the probability distribution function (pdf) of an interval from a four-parameter beta-Poisson model

Usage

pBPi(x1, x2, alp, bet, lam1 = 1, lam2 = 1)

Arguments

x1	Under bound of the interval
x2	Upper bound of the interval
alp	A non-negative value, the parameter of Beta function (alpha)
bet	A non-negative value, the parameter of Beta function (beta)
lam1	A non-negative value, the parameter for scaling
lam2	A non-negative value, the parameter for smoothing, used for BP4 or BP5

Value

pdf of the interval

Examples

x1=0.2
x2=0.4
pBPi(x1,x2,alp=0.6,bet=1.5,lam1=20,lam2=0.05)

nghiavtr/BPSC documentation built on May 23, 2019, 4:42 p.m.