Key | Value |
---|---|
FileName | ./usr/lib64/R/library/msm/R/msm.rdx |
FileSize | 3448 |
MD5 | B59076375E288C07F7BA0B5E126D6FFA |
SHA-1 | 1CDB7E3B8383BBF3FB9F6D564336A2523180258E |
SHA-256 | BD0310ECF05F24DE9561B73A343DE284261796F1484C269AD593246E6F4BA36C |
SSDEEP | 96:kgwxwwxWeySiCV2V8EsUf9cmIIC3mlHo3d:WT1AsIC3soN |
TLSH | T1BB613A3B3517209CCA9BC4BF1977886114A9882AB211AF1723AB8BA209037C59F17B57 |
hashlookup:parent-total | 1 |
hashlookup:trust | 55 |
The searched file hash is included in 1 parent files which include package known and seen by metalookup. A sample is included below:
Key | Value |
---|---|
MD5 | 9144E198D71718D63335CBEBAB05D857 |
PackageArch | x86_64 |
PackageDescription | Functions for fitting general continuous-time Markov and hidden Markov multi-state models to longitudinal data. A variety of observation schemes are supported, including processes observed at arbitrary times (panel data), continuously-observed processes, and censored states. Both Markov transition rates and the hidden Markov output process can be modelled in terms of covariates, which may be constant or piecewise-constant in time. |
PackageName | R-msm |
PackageRelease | lp151.2.59 |
PackageVersion | 1.4 |
SHA-1 | 0500501E30F2021928DC92EFDAC7813A3E18389C |
SHA-256 | 25297FE0EA198BA15C874A6049803B93F54EEA023A40D50238A6745730364A63 |