Result for 040FB66019944F1F92DA69390F434097FB1BF987

Query result

Key Value
FileName./usr/lib64/R/library/surveyeditor/NAMESPACE
FileSize30
MD5A5EE16B6E1D405D44310EB10A9090B5F
SHA-1040FB66019944F1F92DA69390F434097FB1BF987
SHA-256530CDA6C77841FE7D7D9C0E21262C741AE71E2A72969CD709E642BB201B11BED
SSDEEP3:4iOwX8xon:4iOi2o
TLSH
hashlookup:parent-total30
hashlookup:trust100

Network graph view

Parents (Total: 30)

The searched file hash is included in 30 parent files which include package known and seen by metalookup. A sample is included below:

Key Value
MD53E2B6720182AD9F03030675810982F6A
PackageArchx86_64
PackageDescriptionThis is the library that can serialize or unserialize MessagePack format data.
PackageNameR-msgpackR
PackageReleaselp153.2.3
PackageVersion1.1
SHA-1006B646A1FDC5642C497D2A84FB652C2DA0EA4AA
SHA-2560D4A2881FD12E0B80F6F58DC8B47F857671B7FC467A3747CD070E3C5D696A007
Key Value
MD5708B38AE851494DD04395E9BF11A0E57
PackageArchx86_64
PackageDescriptioncontains several supplementary non-parametric statistics methods including quantile test, Cox-Stuart trend test, runs test, normal score test, kernel PDF and CDF estimation, kernel regression estimation and kernel Kolmogorov-Smirnov test.
PackageNameR-snpar
PackageReleaselp153.2.3
PackageVersion1.0
SHA-1009CED0F7ED537C114E3196E0EFB25864BFE7798
SHA-25607E8F7A37A092A208EE43D4AB93CA694A4EA94C176A83E802280D57F024F8ABC
Key Value
MD51BCE939BF40972ACF6B8B0005836631F
PackageArchx86_64
PackageDescriptionEstimate GGUM Person Parameters Using Pre-Calibrated Item Parameters and Binary or Graded Disagree-Agree Responses
PackageNameR-ScoreGGUM
PackageReleaselp153.2.3
PackageVersion1.0
SHA-1053658DFB978F998C575915F6CE2CA38D5F0BB15
SHA-25629A387FE84C57A2D942225A01E4C14F1741E5EF95047B78DD224FC2E4B0F354D
Key Value
MD513A2BF881320A2799DD2049D80627C99
PackageArchx86_64
PackageDescriptioncontains several supplementary non-parametric statistics methods including quantile test, Cox-Stuart trend test, runs test, normal score test, kernel PDF and CDF estimation, kernel regression estimation and kernel Kolmogorov-Smirnov test.
PackageMaintainerhttps://www.suse.com/
PackageNameR-snpar
PackageReleaselp154.2.1
PackageVersion1.0
SHA-122C99B8D0D6D9B70069A8C0D10544D18CBBA6B11
SHA-25659B4E8D7D31F4509B8A0B5174746C8AFC441F64581B9A5548BBB10E7BCC71B65
Key Value
MD5C094DC34E4CEA7932678AB5C83571813
PackageArchx86_64
PackageDescriptionHelp generate slides for surveys or experiments. The resulted slides allow the subject to respond with the use of the mouse (usual keyboard input is replaced with clicking on a virtual keyboard on the slide). Subjects' responses are saved to the user- specified location in the form of R-readable text file. To allow flexibility, each function in this package generates a particular type of slides thus general R function writing skills are required to compile these edited slides.
PackageNameR-surveyeditor
PackageReleaselp153.2.3
PackageVersion1.0
SHA-12859C2B177BC4FFB3EFE435E211B0B3018E13746
SHA-256D3ACB6A10786322DD2A390B82405E2C1B39B45DCAAD036140192AF293B8D1BA6
Key Value
MD56CE036C86FAB66ABA061C70713FBA782
PackageArchx86_64
PackageDescriptionFunction for adding the geological timescale to bivariate plots.
PackageNameR-geoscale
PackageReleaselp152.2.6
PackageVersion2.0
SHA-12E76296B48DCAE529FAAEFC1D16644B25DDC8E18
SHA-25643E57E73136D5AD21AE3BD6F5081D665B9F859BCFBDFFE2D4CFAFAB1EDC15421
Key Value
MD58FE278057FEC4238F136A7029DAF4E8B
PackageArchx86_64
PackageDescriptionContains the example EEG data used in the package eegkit. Also contains code for easily creating larger EEG datasets from the EEG Database on the UCI Machine Learning Repository.
PackageNameR-eegkitdata
PackageReleaselp153.2.1
PackageVersion1.0
SHA-12FDD8982038E061511171DEA778DBA879B280A74
SHA-256217E39B632163C5DBD6479C31224C9211D2FB0AAD3E68DACD1C9344EB5432766
Key Value
MD5B0427BC9CCE127AF3161AE0FBEF09A0C
PackageArchx86_64
PackageDescriptionHelp generate slides for surveys or experiments. The resulted slides allow the subject to respond with the use of the mouse (usual keyboard input is replaced with clicking on a virtual keyboard on the slide). Subjects' responses are saved to the user- specified location in the form of R-readable text file. To allow flexibility, each function in this package generates a particular type of slides thus general R function writing skills are required to compile these edited slides.
PackageNameR-surveyeditor
PackageRelease2.23
PackageVersion1.0
SHA-130B6790B3B925E7F52C58C4605BFCF1BC883C6FE
SHA-25659246576ED592C4755AB4E532525BAD4F9E898E45A8EB9A4F34CF4850641E0BD
Key Value
MD5744A4D32997266FFAE32F46A9A9A87B2
PackageArchx86_64
PackageDescriptionContains the example EEG data used in the package eegkit. Also contains code for easily creating larger EEG datasets from the EEG Database on the UCI Machine Learning Repository.
PackageMaintainerhttps://www.suse.com/
PackageNameR-eegkitdata
PackageReleaselp154.2.1
PackageVersion1.0
SHA-1376D684ABD59FF76A771B6141C02390CBD394269
SHA-25655A894B8F17C712549716B68071BC44F9DCE8E234CD79A2C9B8B9644514A36A6
Key Value
MD5FE0EAD91C7D5289BA2DFBE2B373A81C7
PackageArchx86_64
PackageDescriptionCompanion to the book "An Introduction to Clustering with R" by P. Giordani, M.B. Ferraro and F. Martella (Springer, Singapore, 2020). The datasets are used in some case studies throughout the text.
PackageNameR-datasetsICR
PackageReleaselp153.2.3
PackageVersion1.0
SHA-143736F6288CACA2656B2F6297AAF229E26AE902D
SHA-25663549E92AFA510D465F4A8312D7615521B5E3397AEE51AD273676AB5E742200D