The DESCEND class is a container to store the DESCEND result for a single gene.

`distribution`

The distribution of the deconvolved distribution with relative statistics.

`theta`

are the discretized values,`g`

are the probability at these values and`SE.g`

is the standard deviation of these density estimates.`G`

are the accumlated probabilities at these values and`SE.G`

are the corresponding standard errors.`estimates`

The matrix of distribution measurements and coefficients estimated values, bias, standard deviation and mean square error (named as

`DESCEND.sd`

)`pval`

The p values of the likelihood ratio tests if computed

`density.points`

Smoothed version of the distribution for easier plotting of the distribution

Jingshu Wang

jingshuw/descend documentation built on Sept. 2, 2018, 11:10 a.m.

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