I am new to pytorch and was trying to convert some code from R to Pytorch. Now in R there are functions

to estimate the score or likelihood under some probability distribution. For example, if I have a Binomial distribution with 10 trials and a probability of success of 0.5, then I could evaluate the probability of getting 4 successes out of 10 trials with:

```
dbinom(4, size=10, prob=0.5)
```

If I wanted to find the probability of getting 4 or less successes in 10 trials, I would use:

```
pbinom(4, size=10, prob=0.5)
```

What would the equivalent code be in Pytorch? I was thinking it would be `prob()`

but I was not sure if that was dbinom or pbinom, or if there was a better way to code this? Thanks.

Point of fact, the actual lines of R code I am trying to replicate come from McElreath’s book,

*Statistical Rethinking*, and the R code is:

```
p_grid <- seq( from=0 , to=1 , length.out=20 )
likelihood <- dbinom( 6 , size=9 , prob=p_grid )
```