Parents (Total: 13)

The searched file hash is included in 13 parent files which include package known and seen by metalookup. A sample is included below:

Key	Value
MD5	8AE22C77D78ED393DF3B6BBE9DC4981A
PackageArch	x86_64
PackageDescription	The C++ header files of the Stan project are provided by this package, but it contains no R code or function documentation. There is a shared object containing part of the 'CVODES' library, but it is not accessible from R. 'StanHeaders' is only useful for developers who want to utilize the 'LinkingTo' directive of their package's DESCRIPTION file to build on the Stan library without incurring unnecessary dependencies. The Stan project develops a probabilistic programming language that implements full or approximate Bayesian statistical inference via Markov Chain Monte Carlo or 'variational' methods and implements (optionally penalized) maximum likelihood estimation via optimization. The Stan library includes an advanced automatic differentiation scheme, 'templated' statistical and linear algebra functions that can handle the automatically 'differentiable' scalar types (and doubles, 'ints', etc.), and a parser for the Stan language. The 'rstan' package provides user-facing R functions to parse, compile, test, estimate, and analyze Stan models.
PackageName	R-StanHeaders
PackageRelease	1.15
PackageVersion	2.19.0
SHA-1	1D66FDBD6AE9911F3CEF50F97D62D07C486E94E5
SHA-256	9E99E8D32981453B81A551A0FD9527118C8DF1BDF5A5DD17EC92A673468F74AD

Key	Value
MD5	FF55F76A181D08BF74ACF14AE98FA563
PackageArch	i586
PackageDescription	The C++ header files of the Stan project are provided by this package, but it contains no R code or function documentation. There is a shared object containing part of the 'CVODES' library, but it is not accessible from R. 'StanHeaders' is only useful for developers who want to utilize the 'LinkingTo' directive of their package's DESCRIPTION file to build on the Stan library without incurring unnecessary dependencies. The Stan project develops a probabilistic programming language that implements full or approximate Bayesian statistical inference via Markov Chain Monte Carlo or 'variational' methods and implements (optionally penalized) maximum likelihood estimation via optimization. The Stan library includes an advanced automatic differentiation scheme, 'templated' statistical and linear algebra functions that can handle the automatically 'differentiable' scalar types (and doubles, 'ints', etc.), and a parser for the Stan language. The 'rstan' package provides user-facing R functions to parse, compile, test, estimate, and analyze Stan models.
PackageName	R-StanHeaders
PackageRelease	1.53
PackageVersion	2.19.0
SHA-1	A8FAB4EB4B9117B82D33F3A7693D2BEB99381E90
SHA-256	E45722D05CFE644BCE85E3CB23372A5D16868EA1FF15C148F315DCEDD4A2CA9F

Key	Value
MD5	DA9A9FE50BCFF60FFB3472D7D8F57DCE
PackageArch	x86_64
PackageDescription	The C++ header files of the Stan project are provided by this package, but it contains no R code or function documentation. There is a shared object containing part of the 'CVODES' library, but it is not accessible from R. 'StanHeaders' is only useful for developers who want to utilize the 'LinkingTo' directive of their package's DESCRIPTION file to build on the Stan library without incurring unnecessary dependencies. The Stan project develops a probabilistic programming language that implements full or approximate Bayesian statistical inference via Markov Chain Monte Carlo or 'variational' methods and implements (optionally penalized) maximum likelihood estimation via optimization. The Stan library includes an advanced automatic differentiation scheme, 'templated' statistical and linear algebra functions that can handle the automatically 'differentiable' scalar types (and doubles, 'ints', etc.), and a parser for the Stan language. The 'rstan' package provides user-facing R functions to parse, compile, test, estimate, and analyze Stan models.
PackageName	R-StanHeaders
PackageRelease	lp153.1.13
PackageVersion	2.19.0
SHA-1	38AA00BF897FEBCF9BD458A9F806BBBF224DE984
SHA-256	C918071F20108C80492A5974C81E100F66437392A256B4F6813ACA21A5600CAA

Key	Value
MD5	D59DC550641BC7EE17850852D9B6493B
PackageArch	x86_64
PackageDescription	The C++ header files of the Stan project are provided by this package, but it contains no R code or function documentation. There is a shared object containing part of the 'CVODES' library, but it is not accessible from R. 'StanHeaders' is only useful for developers who want to utilize the 'LinkingTo' directive of their package's DESCRIPTION file to build on the Stan library without incurring unnecessary dependencies. The Stan project develops a probabilistic programming language that implements full or approximate Bayesian statistical inference via Markov Chain Monte Carlo or 'variational' methods and implements (optionally penalized) maximum likelihood estimation via optimization. The Stan library includes an advanced automatic differentiation scheme, 'templated' statistical and linear algebra functions that can handle the automatically 'differentiable' scalar types (and doubles, 'ints', etc.), and a parser for the Stan language. The 'rstan' package provides user-facing R functions to parse, compile, test, estimate, and analyze Stan models.
PackageName	R-StanHeaders
PackageRelease	1.6
PackageVersion	2.19.0
SHA-1	BF2323B790A11D5C4780FCD27CFAEC7DB099CC42
SHA-256	9CBC2334730E1CA684A8E657F6ED0B14ACCDDC688A42525057EA92FDD39430F4

Key	Value
MD5	0AFD00346FE2528B8485151DC6F1F663
PackageArch	i586
PackageDescription	The C++ header files of the Stan project are provided by this package, but it contains no R code or function documentation. There is a shared object containing part of the 'CVODES' library, but it is not accessible from R. 'StanHeaders' is only useful for developers who want to utilize the 'LinkingTo' directive of their package's DESCRIPTION file to build on the Stan library without incurring unnecessary dependencies. The Stan project develops a probabilistic programming language that implements full or approximate Bayesian statistical inference via Markov Chain Monte Carlo or 'variational' methods and implements (optionally penalized) maximum likelihood estimation via optimization. The Stan library includes an advanced automatic differentiation scheme, 'templated' statistical and linear algebra functions that can handle the automatically 'differentiable' scalar types (and doubles, 'ints', etc.), and a parser for the Stan language. The 'rstan' package provides user-facing R functions to parse, compile, test, estimate, and analyze Stan models.
PackageName	R-StanHeaders
PackageRelease	1.53
PackageVersion	2.19.0
SHA-1	519E013F84C1C729322FD222F67EB31B4E976F97
SHA-256	6B98E75D7BFEACB7F9A018C5BFE903EC89BC800361BC379A14838CF9340C64A6

Key	Value
MD5	37D8AF892A79C8F3D45213685716DFFA
PackageArch	x86_64
PackageDescription	The C++ header files of the Stan project are provided by this package, but it contains no R code or function documentation. There is a shared object containing part of the 'CVODES' library, but it is not accessible from R. 'StanHeaders' is only useful for developers who want to utilize the 'LinkingTo' directive of their package's DESCRIPTION file to build on the Stan library without incurring unnecessary dependencies. The Stan project develops a probabilistic programming language that implements full or approximate Bayesian statistical inference via Markov Chain Monte Carlo or 'variational' methods and implements (optionally penalized) maximum likelihood estimation via optimization. The Stan library includes an advanced automatic differentiation scheme, 'templated' statistical and linear algebra functions that can handle the automatically 'differentiable' scalar types (and doubles, 'ints', etc.), and a parser for the Stan language. The 'rstan' package provides user-facing R functions to parse, compile, test, estimate, and analyze Stan models.
PackageName	R-StanHeaders
PackageRelease	1.53
PackageVersion	2.19.0
SHA-1	C14B95E4BC41DBD7CA42FA5847D0CD57B953BE94
SHA-256	2B13567733D63741C445575C3AA8184CCB634C7CA8A71BBA6182AB7FD5226D4B

Key	Value
MD5	143CF0E33BFD369DEDFBD757FC90CEFD
PackageArch	x86_64
PackageDescription	The C++ header files of the Stan project are provided by this package, but it contains no R code or function documentation. There is a shared object containing part of the 'CVODES' library, but it is not accessible from R. 'StanHeaders' is only useful for developers who want to utilize the 'LinkingTo' directive of their package's DESCRIPTION file to build on the Stan library without incurring unnecessary dependencies. The Stan project develops a probabilistic programming language that implements full or approximate Bayesian statistical inference via Markov Chain Monte Carlo or 'variational' methods and implements (optionally penalized) maximum likelihood estimation via optimization. The Stan library includes an advanced automatic differentiation scheme, 'templated' statistical and linear algebra functions that can handle the automatically 'differentiable' scalar types (and doubles, 'ints', etc.), and a parser for the Stan language. The 'rstan' package provides user-facing R functions to parse, compile, test, estimate, and analyze Stan models.
PackageName	R-StanHeaders
PackageRelease	lp152.1.11
PackageVersion	2.19.0
SHA-1	E912736B366E083158C544CB14D8505BC3138909
SHA-256	ACA90413828263B57BCB234120DD32B754EDB5AC283385EDA3755AD151571E1B

Key	Value
MD5	09F07AC4DC841347E4D69EC1CD98D02C
PackageArch	x86_64
PackageDescription	The C++ header files of the Stan project are provided by this package, but it contains no R code or function documentation. There is a shared object containing part of the 'CVODES' library, but it is not accessible from R. 'StanHeaders' is only useful for developers who want to utilize the 'LinkingTo' directive of their package's DESCRIPTION file to build on the Stan library without incurring unnecessary dependencies. The Stan project develops a probabilistic programming language that implements full or approximate Bayesian statistical inference via Markov Chain Monte Carlo or 'variational' methods and implements (optionally penalized) maximum likelihood estimation via optimization. The Stan library includes an advanced automatic differentiation scheme, 'templated' statistical and linear algebra functions that can handle the automatically 'differentiable' scalar types (and doubles, 'ints', etc.), and a parser for the Stan language. The 'rstan' package provides user-facing R functions to parse, compile, test, estimate, and analyze Stan models.
PackageName	R-StanHeaders
PackageRelease	1.16
PackageVersion	2.19.0
SHA-1	58406873348D6F8607355E4C2F43AC52949312DD
SHA-256	CA1EEBCFABF7A84A5A6FE03FFD23E6D5DEA98C8B805C5F04895DF5855A1CF9A5

Key	Value
MD5	9682DFE149A4FC402660ED8A98ECB279
PackageArch	x86_64
PackageDescription	The C++ header files of the Stan project are provided by this package, but it contains no R code or function documentation. There is a shared object containing part of the 'CVODES' library, but it is not accessible from R. 'StanHeaders' is only useful for developers who want to utilize the 'LinkingTo' directive of their package's DESCRIPTION file to build on the Stan library without incurring unnecessary dependencies. The Stan project develops a probabilistic programming language that implements full or approximate Bayesian statistical inference via Markov Chain Monte Carlo or 'variational' methods and implements (optionally penalized) maximum likelihood estimation via optimization. The Stan library includes an advanced automatic differentiation scheme, 'templated' statistical and linear algebra functions that can handle the automatically 'differentiable' scalar types (and doubles, 'ints', etc.), and a parser for the Stan language. The 'rstan' package provides user-facing R functions to parse, compile, test, estimate, and analyze Stan models.
PackageName	R-StanHeaders
PackageRelease	1.53
PackageVersion	2.19.0
SHA-1	11E893B8AFCA3BDEDC8A6DE3BE05072FA73DE9BA
SHA-256	37C4D5957F2AC1C42F77DEB29E35D553249B390ECAAE9F3C080D34D019CA1257

Key	Value
MD5	CFA5427083E343E5DD279ACE0F16F206
PackageArch	x86_64
PackageDescription	The C++ header files of the Stan project are provided by this package, but it contains no R code or function documentation. There is a shared object containing part of the 'CVODES' library, but it is not accessible from R. 'StanHeaders' is only useful for developers who want to utilize the 'LinkingTo' directive of their package's DESCRIPTION file to build on the Stan library without incurring unnecessary dependencies. The Stan project develops a probabilistic programming language that implements full or approximate Bayesian statistical inference via Markov Chain Monte Carlo or 'variational' methods and implements (optionally penalized) maximum likelihood estimation via optimization. The Stan library includes an advanced automatic differentiation scheme, 'templated' statistical and linear algebra functions that can handle the automatically 'differentiable' scalar types (and doubles, 'ints', etc.), and a parser for the Stan language. The 'rstan' package provides user-facing R functions to parse, compile, test, estimate, and analyze Stan models.
PackageName	R-StanHeaders
PackageRelease	1.16
PackageVersion	2.19.0
SHA-1	5850A4304ADDFE1FACEFB7147DB0527399E24C06
SHA-256	3D650233DB80C24B812F290B4BDA4EFECFA05850CB5AE791637BAC109B93BDFF

Key	Value
MD5	E43A53C3C1E906572D50BA4616CABC40
PackageArch	x86_64
PackageDescription	The C++ header files of the Stan project are provided by this package, but it contains no R code or function documentation. There is a shared object containing part of the 'CVODES' library, but it is not accessible from R. 'StanHeaders' is only useful for developers who want to utilize the 'LinkingTo' directive of their package's DESCRIPTION file to build on the Stan library without incurring unnecessary dependencies. The Stan project develops a probabilistic programming language that implements full or approximate Bayesian statistical inference via Markov Chain Monte Carlo or 'variational' methods and implements (optionally penalized) maximum likelihood estimation via optimization. The Stan library includes an advanced automatic differentiation scheme, 'templated' statistical and linear algebra functions that can handle the automatically 'differentiable' scalar types (and doubles, 'ints', etc.), and a parser for the Stan language. The 'rstan' package provides user-facing R functions to parse, compile, test, estimate, and analyze Stan models.
PackageName	R-StanHeaders
PackageRelease	lp150.1.11
PackageVersion	2.19.0
SHA-1	19356E1554D3C280FF856A9B9CC27183303C323E
SHA-256	15B3913667A3EEE91B935AFE83E9EE406266E60DB2D9C2B943B12FD4BEF97003

Key	Value
MD5	BD5BA06B70234387F317A476C8B64666
PackageArch	armv7hl
PackageDescription	The C++ header files of the Stan project are provided by this package, but it contains no R code or function documentation. There is a shared object containing part of the 'CVODES' library, but it is not accessible from R. 'StanHeaders' is only useful for developers who want to utilize the 'LinkingTo' directive of their package's DESCRIPTION file to build on the Stan library without incurring unnecessary dependencies. The Stan project develops a probabilistic programming language that implements full or approximate Bayesian statistical inference via Markov Chain Monte Carlo or 'variational' methods and implements (optionally penalized) maximum likelihood estimation via optimization. The Stan library includes an advanced automatic differentiation scheme, 'templated' statistical and linear algebra functions that can handle the automatically 'differentiable' scalar types (and doubles, 'ints', etc.), and a parser for the Stan language. The 'rstan' package provides user-facing R functions to parse, compile, test, estimate, and analyze Stan models.
PackageName	R-StanHeaders
PackageRelease	1.48
PackageVersion	2.19.0
SHA-1	893461C5CCAE84718295F2EEFF0956A225898B74
SHA-256	059BEDDB21826E18D216E46A88BD60CA72309F7AF4B0D6C43D8B8A0C0C2C8330

Key	Value
MD5	08C99D9210364E511D79A583263D2B74
PackageArch	x86_64
PackageDescription	The C++ header files of the Stan project are provided by this package, but it contains no R code or function documentation. There is a shared object containing part of the 'CVODES' library, but it is not accessible from R. 'StanHeaders' is only useful for developers who want to utilize the 'LinkingTo' directive of their package's DESCRIPTION file to build on the Stan library without incurring unnecessary dependencies. The Stan project develops a probabilistic programming language that implements full or approximate Bayesian statistical inference via Markov Chain Monte Carlo or 'variational' methods and implements (optionally penalized) maximum likelihood estimation via optimization. The Stan library includes an advanced automatic differentiation scheme, 'templated' statistical and linear algebra functions that can handle the automatically 'differentiable' scalar types (and doubles, 'ints', etc.), and a parser for the Stan language. The 'rstan' package provides user-facing R functions to parse, compile, test, estimate, and analyze Stan models.
PackageName	R-StanHeaders
PackageRelease	lp151.1.16
PackageVersion	2.19.0
SHA-1	DDB46FB5CBAEE160729822C9736C8331E23D0A7D
SHA-256	1C57436F68DD6EEB7CB4815BB15CCCFDDE2C2A3AA1FA0E835F7DA7F62447C5F8