computeL: computeL
In shimlab/riboHMM2: Analysis tool for Ribo-seq
Description
Usage
Arguments
Value
Examples
Description
computeL calculates L_k(t),
where L_k(t) = P( Z[t]=k | x[1:n])
Usage
1
computeL(la, lb)
Arguments
la
a matrix from forward algorithm
lb
a matrix from backward algorithm
Value
A matrix, L.
Examples
1
2
3
4
5
6
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9
10
df <- uORF[[1]]
x=df$x; RNA=df$RNA; trans=df$trans; a=df$v; b=df$v/df$m; E=df$E
la <- forwardAlg(x, RNA, trans, a, b, E)
lb <- backwardAlg(x, RNA, trans, a, b, E)
L <- computeL(la, lb)
table(df$z) # check the first few entries of L against df$z
View(L) # note 1st column and number of 1 in df$z
rowSums(L) # should all be 1
shimlab/riboHMM2 documentation built on May 19, 2019, 6:23 p.m.
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Description Usage Arguments Value Examples
Description
computeL calculates L_k(t),
where L_k(t) = P( Z[t]=k | x[1:n])
Usage
1 | computeL(la, lb)
|
Arguments
la |
a matrix from forward algorithm |
lb |
a matrix from backward algorithm |
Value
A matrix, L.
Examples
1 2 3 4 5 6 7 8 9 10 | df <- uORF[[1]]
x=df$x; RNA=df$RNA; trans=df$trans; a=df$v; b=df$v/df$m; E=df$E
la <- forwardAlg(x, RNA, trans, a, b, E)
lb <- backwardAlg(x, RNA, trans, a, b, E)
L <- computeL(la, lb)
table(df$z) # check the first few entries of L against df$z
View(L) # note 1st column and number of 1 in df$z
rowSums(L) # should all be 1
|
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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