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r-migrationdetectr 0.1.1
Propagated dependencies: r-tidyr@1.3.1 r-tibble@3.2.1 r-lubridate@1.9.4 r-lifecycle@1.0.4 r-dplyr@1.1.4 r-assertthat@0.2.1
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://cran.r-project.org/package=MigrationDetectR
Licenses: FSDG-compatible
Synopsis: Segment-Based Migration Detection Algorithm
Description:

Detection of migration events and segments of continuous residence based on irregular time series of location data as published in Chi et al. (2020) <doi:10.1371/journal.pone.0239408>.

r-microinverterdata 0.4.0
Propagated dependencies: r-units@0.8-7 r-tidyr@1.3.1 r-rlang@1.1.6 r-purrr@1.0.4 r-httr2@1.1.2 r-glue@1.8.0 r-dplyr@1.1.4 r-cli@3.6.5
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://camembr.github.io/microinverterdata/
Licenses: Expat
Synopsis: Collect your Microinverter Data
Description:

Collect and normalize local microinverter energy and power production data through off-cloud API requests. Currently supports APSystems', Enphase', and Fronius microinverters.

r-migration-indices 0.3.1
Propagated dependencies: r-calibrate@1.7.7
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://github.com/daroczig/migration.indices
Licenses: AGPL 3
Synopsis: Migration Indices
Description:

Calculate various indices, like Crude Migration Rate, different Gini indices or the Coefficient of Variation among others, to show the (un)equality of migration.

r-minionsummarydata 1.38.0
Channel: guix
Location: gnu/packages/bioconductor.scm (gnu packages bioconductor)
Home page: https://bioconductor.org/packages/minionSummaryData
Licenses: Expat
Synopsis: Summarized MinION sequencing data published by Ashton et al. 2015
Description:

This package provides summarized MinION sequencing data for Salmonella Typhi published by Ashton et al. in 2015. Three replicate runs are each provided as Fast5Summary objects.

r-missforestpredict 1.0.1
Propagated dependencies: r-ranger@0.17.0
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://github.com/sibipx/missForestPredict
Licenses: GPL 2+
Synopsis: Missing Value Imputation using Random Forest for Prediction Settings
Description:

Missing data imputation based on the missForest algorithm (Stekhoven, Daniel J (2012) <doi:10.1093/bioinformatics/btr597>) with adaptations for prediction settings. The function missForest() is used to impute a (training) dataset with missing values and to learn imputation models that can be later used for imputing new observations. The function missForestPredict() is used to impute one or multiple new observations (test set) using the models learned on the training data. For more details see Albu, E., Gao, S., Wynants, L., & Van Calster, B. (2024). missForestPredict--Missing data imputation for prediction settings <doi:10.48550/arXiv.2407.03379>.

r-micromacromultilevel 0.4.0
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://cran.r-project.org/package=MicroMacroMultilevel
Licenses: GPL 2+
Synopsis: Micro-Macro Multilevel Modeling
Description:

Most multilevel methodologies can only model macro-micro multilevel situations in an unbiased way, wherein group-level predictors (e.g., city temperature) are used to predict an individual-level outcome variable (e.g., citizen personality). In contrast, this R package enables researchers to model micro-macro situations, wherein individual-level (micro) predictors (and other group-level predictors) are used to predict a group-level (macro) outcome variable in an unbiased way.

Total results: 270