Parents (Total: 4)

The searched file hash is included in 4 parent files which include package known and seen by metalookup. A sample is included below:

Key	Value
MD5	1A87F7A16564AD4813F35855007E19DE
PackageArch	x86_64
PackageDescription	Functions for fitting GEV and POT (via point process fitting) models for extremes in climate data, providing return values, return probabilities, and return periods for stationary and nonstationary models. Also provides differences in return values and differences in log return probabilities for contrasts of covariate values. Functions for estimating risk ratios for event attribution analyses, including uncertainty. Under the hood, many of the functions use functions from 'extRemes', including for fitting the statistical models. Details are given in Paciorek, Stone, and Wehner (2018) <doi:10.1016/j.wace.2018.01.002>.
PackageName	R-climextRemes
PackageRelease	2.74
PackageVersion	0.2.2
SHA-1	8DD8B989C62E0FE98668CBFBE864DDEA2E60ED8D
SHA-256	A6D264B3AB2B64F30A73F58BEAFD5BEBAAF6680B2AB162E94DB10A9B43EEEADA

Key	Value
MD5	EC74228D5B5CC42FAA20884877D627E4
PackageArch	x86_64
PackageDescription	Functions for fitting GEV and POT (via point process fitting) models for extremes in climate data, providing return values, return probabilities, and return periods for stationary and nonstationary models. Also provides differences in return values and differences in log return probabilities for contrasts of covariate values. Functions for estimating risk ratios for event attribution analyses, including uncertainty. Under the hood, many of the functions use functions from 'extRemes', including for fitting the statistical models. Details are given in Paciorek, Stone, and Wehner (2018) <doi:10.1016/j.wace.2018.01.002>.
PackageMaintainer	https://www.suse.com/
PackageName	R-climextRemes
PackageRelease	lp154.2.1
PackageVersion	0.2.2
SHA-1	D237B73457A2B191EC15B1DD65DE05E26F1B69A8
SHA-256	C4CD336692FCCED3F9F830B452C85DE2A2CFE9369909130E45B72C8750380434

Key	Value
MD5	937A5505230DEF7B3AB49136544E96B7
PackageArch	x86_64
PackageDescription	Functions for fitting GEV and POT (via point process fitting) models for extremes in climate data, providing return values, return probabilities, and return periods for stationary and nonstationary models. Also provides differences in return values and differences in log return probabilities for contrasts of covariate values. Functions for estimating risk ratios for event attribution analyses, including uncertainty. Under the hood, many of the functions use functions from 'extRemes', including for fitting the statistical models. Details are given in Paciorek, Stone, and Wehner (2018) <doi:10.1016/j.wace.2018.01.002>.
PackageName	R-climextRemes
PackageRelease	lp152.2.6
PackageVersion	0.2.2
SHA-1	0415E6C9B3ECE45FBCD9EC51AED09ABCFADDB30E
SHA-256	F31056CE556BCD83AEB15757F31424E85BD8218C04FB1C53B342D14F4F7F4EB3

Key	Value
MD5	1D67CFAEC6A17100E50A4B14959ECBA8
PackageArch	x86_64
PackageDescription	Functions for fitting GEV and POT (via point process fitting) models for extremes in climate data, providing return values, return probabilities, and return periods for stationary and nonstationary models. Also provides differences in return values and differences in log return probabilities for contrasts of covariate values. Functions for estimating risk ratios for event attribution analyses, including uncertainty. Under the hood, many of the functions use functions from 'extRemes', including for fitting the statistical models. Details are given in Paciorek, Stone, and Wehner (2018) <doi:10.1016/j.wace.2018.01.002>.
PackageName	R-climextRemes
PackageRelease	lp153.2.3
PackageVersion	0.2.2
SHA-1	AFB514E034B2AE95835B7E5A915ED815C1F54B88
SHA-256	325DE80FF4817802454C00074367934D87974AB05B94F63F1BF8FE07263CF64B