Parents (Total: 26)

The searched file hash is included in 26 parent files which include package known and seen by metalookup. A sample is included below:

Key	Value
MD5	952EB0AC247035D2E45AA61BB836B398
PackageArch	x86_64
PackageDescription	Functions that compute probabilistic excursion sets, contour credibility regions, contour avoiding regions, and simultaneous confidence bands for latent Gaussian random processes and fields. The package also contains functions that calculate these quantities for models estimated with the INLA package. The main references for excursions are Bolin and Lindgren (2015) <doi:10.1111/rssb.12055>, Bolin and Lindgren (2017) <doi:10.1080/10618600.2016.1228537>, and Bolin and Lindgren (2018) <doi:10.18637/jss.v086.i05>. These can be generated by the citation function in R.
PackageName	R-excursions
PackageRelease	lp154.1.1
PackageVersion	2.5.2
SHA-1	0B6630FEFF13AFEB66DD714504BBA3336A50C8FA
SHA-256	BC53502BC4532535DB44A53E3329925304937E38944853920222E8FB6EBD5FF1

Key	Value
FileName	https://ftp.lysator.liu.se/pub/OpenBSD/5.5/packages//arm//R-2.15.3p0.tgz
MD5	169801D9C395DA8C9CED28781628339D
SHA-1	0C6B2834FD9081E6EAA5B972F21F6DBB8D206634
SHA-256	E7089D579DAD52920451390CAE4A751010FBF8CDB7A3A789D0C50EA768E88CB6
SSDEEP	786432:guzHgT8npMYxETGX3SELuDUVybopnw9QPrYMmOBUYIWXjVBBvIqzqB/SvL:geHdp5EKZuRMnwGTwOSYFfmqzqB0
TLSH	T1978733AAB45A15BBD4F93705271173CE426D0D404AB9CBCAF61783C9362E4F3709AE36

Key	Value
FileName	https://ftp.lysator.liu.se/pub/OpenBSD/5.5/packages//amd64//R-2.15.3p0.tgz
MD5	F0754D41F9B1C41DFD5E1B8CB4E98B82
SHA-1	1092F7BC6C57CE3D260E918DC5D300EB46B5B62B
SHA-256	37559B4F65A9D6B552B0C7261BF341E65DF64B8BEBB76F718834E0C25FBC0962
SSDEEP	786432:3+jsfaMin7wOxKCT3EN0v4seldlMucHbNyC1hdvle0EZKw+N1/:vaZn7wmKCTwO6UNBp40E0/
TLSH	T1FE8733695073B627166773E08376CFCADCA2989641B8DC74FF24AF100AE89C524DDC9B

Key	Value
MD5	EF77FEE40C532074D0C7C4484F34B02F
PackageArch	x86_64
PackageDescription	Functions that compute probabilistic excursion sets, contour credibility regions, contour avoiding regions, and simultaneous confidence bands for latent Gaussian random processes and fields. The package also contains functions that calculate these quantities for models estimated with the INLA package. The main references for excursions are Bolin and Lindgren (2015) <doi:10.1111/rssb.12055>, Bolin and Lindgren (2017) <doi:10.1080/10618600.2016.1228537>, and Bolin and Lindgren (2018) <doi:10.18637/jss.v086.i05>. These can be generated by the citation function in R.
PackageName	R-excursions
PackageRelease	lp152.1.2
PackageVersion	2.5.2
SHA-1	2A012442C1E6AFFA1284FA27BA608DF64B8D8948
SHA-256	2CF33D0F4294131452E3E4D5072360E0AFD821DDD1533C202CD88B38C61D0D16

Key	Value
FileName	https://ftp.lysator.liu.se/pub/OpenBSD/5.5/packages//sparc64//R-2.15.3p0.tgz
MD5	C62843FC699D59D97B707FACC0DDC205
SHA-1	30E9D00F3605D6ABE4FED6C0507BB861382172DC
SHA-256	DAE696F9EB9DC12C9113F747C0991F5F015ADDA6DA01A9965B1A6CD6020D2349
SSDEEP	786432:p3p9xdMhpBQzziMyrRejKPMQbf0AQin10tAwMSXsEwN/oN4osTMH:pZ9/6kzWrRQ0MgwisAwMpEwuX+MH
TLSH	T1BD873304AEF9C8E3289879DA1C8FC7A267CC50513528EDA6F75CC7B525C1CE972368E1

Key	Value
FileName	https://ftp.lysator.liu.se/pub/OpenBSD/5.5/packages//powerpc//R-2.15.3p0.tgz
MD5	F97E07DFFDBF2092B13A4244EA249287
SHA-1	33E1B25DD47CE7B7D354255B4C6E7BCE3ED6FB01
SHA-256	951C0C26CB971C9576BAE7806241BF5CD2FCD3454EBDB85CF38CB51656E890BD
SSDEEP	786432:ZJ2LqL34Byc3rLRfMMDLYZiVeca1MV3UpBkTCyEIfIhFSUslv8dovUYdD7:IxwkcZiQJBrkmy5gh/slv8Oce
TLSH	T1E08733AC5F38227129C57C75E6E59841238EFC66836B4EF4931085B8B63E9170478FBB

Key	Value
FileName	https://ftp.lysator.liu.se/pub/OpenBSD/5.5/packages//mips64el//R-2.15.3p0.tgz
MD5	A2958FABEE17C4B2A186D335308DA6BE
SHA-1	3DD7D8597A178228C6FB2FDA2E13F5FD19DBC5B1
SHA-256	5420681F8AF913373C30A7E49E32D53533575A6702247A5A1F90B69155C43813
SSDEEP	786432:wf8UkvIbLjFkI33iyNX5+KFzb0JyGzy6qL/O26o7GQKatlAFnlenSv:wEUVD3iyttbLGzTa/cyKavAF4u
TLSH	T1038733579430EC5F21B67A74D65266DA13D72FB88197CE28EB32B02EB3940F1E825335

Key	Value
MD5	7DC825792EFD71605C6C18E504FFF9E0
PackageArch	ppc64
PackageDescription	A language and environment for statistical computing and graphics. R is similar to the award-winning S system, which was developed at Bell Laboratories by John Chambers et al. It provides a wide variety of statistical and graphical techniques (linear and nonlinear modelling, statistical tests, time series analysis, classification, clustering, ...). R is designed as a true computer language with control-flow constructions for iteration and alternation, and it allows users to add additional functionality by defining new functions. For computationally intensive tasks, C, C++ and Fortran code can be linked and called at run time.
PackageMaintainer	Fedora Project
PackageName	R-core
PackageRelease	2.fc19
PackageVersion	3.0.1
SHA-1	408DFDD818B4734E26B871655708C558BE8D19EF
SHA-256	86876AAA52299F3865C1168B2799E30908ABD7FD3999D03C2C0AEB5EA50E8815

Key	Value
MD5	B1405F189BCDAB8C1A0DD2CB71E442BE
PackageArch	s390
PackageDescription	A language and environment for statistical computing and graphics. R is similar to the award-winning S system, which was developed at Bell Laboratories by John Chambers et al. It provides a wide variety of statistical and graphical techniques (linear and nonlinear modelling, statistical tests, time series analysis, classification, clustering, ...). R is designed as a true computer language with control-flow constructions for iteration and alternation, and it allows users to add additional functionality by defining new functions. For computationally intensive tasks, C, C++ and Fortran code can be linked and called at run time.
PackageMaintainer	Fedora Project
PackageName	R-core
PackageRelease	2.fc19
PackageVersion	3.0.1
SHA-1	6BD60C4E4B3332C25307604313FF920A7ECDAF1F
SHA-256	28D0B53528155491CBCCCEF8A4909AAA6ABC1CD24E832FEDE501E3EE7652715B

Key	Value
MD5	49C11CFAE79B67BA84AACE45AECA86E1
PackageArch	x86_64
PackageDescription	Functions that compute probabilistic excursion sets, contour credibility regions, contour avoiding regions, and simultaneous confidence bands for latent Gaussian random processes and fields. The package also contains functions that calculate these quantities for models estimated with the INLA package. The main references for excursions are Bolin and Lindgren (2015) <doi:10.1111/rssb.12055>, Bolin and Lindgren (2017) <doi:10.1080/10618600.2016.1228537>, and Bolin and Lindgren (2018) <doi:10.18637/jss.v086.i05>. These can be generated by the citation function in R.
PackageName	R-excursions
PackageRelease	1.8
PackageVersion	2.5.2
SHA-1	6CEF84795F8F30CF5812CB46AFD503F5F903A809
SHA-256	2F8661AB8839B2C98BD30659BE39AB0DAC1B42E2A253EF2FB5D3C4CB1054CF8A