dbbinom: Beta-binomial distribution density function A distribution is...
In whtns/numbat: Haplotype-Aware CNV Analysis from scRNA-Seq
dbbinom R Documentation
Beta-binomial distribution density function
A distribution is beta-binomial if p, the probability of success,
in a binomial distribution has a beta distribution with shape
parameters alpha > 0 and beta > 0
For more details, see extraDistr::dbbinom
Description
Beta-binomial distribution density function
A distribution is beta-binomial if p, the probability of success,
in a binomial distribution has a beta distribution with shape
parameters alpha > 0 and beta > 0
For more details, see extraDistr::dbbinom
Usage
dbbinom(x, size, alpha = 1, beta = 1, log = FALSE)
Arguments
x
vector of quantiles
size
number of trials (zero or more)
alpha
numeric (default=1)
beta
numeric (default=1)
log
boolean (default=FALSE)
Value
density values returned as numeric vector
whtns/numbat documentation built on Nov. 8, 2022, 10:48 a.m.
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| dbbinom | R Documentation |
Beta-binomial distribution density function A distribution is beta-binomial if p, the probability of success, in a binomial distribution has a beta distribution with shape parameters alpha > 0 and beta > 0 For more details, see extraDistr::dbbinom
Description
Beta-binomial distribution density function A distribution is beta-binomial if p, the probability of success, in a binomial distribution has a beta distribution with shape parameters alpha > 0 and beta > 0 For more details, see extraDistr::dbbinom
Usage
dbbinom(x, size, alpha = 1, beta = 1, log = FALSE)
Arguments
x |
vector of quantiles |
size |
number of trials (zero or more) |
alpha |
numeric (default=1) |
beta |
numeric (default=1) |
log |
boolean (default=FALSE) |
Value
density values returned as numeric vector
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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