Tools for accessing various open data APIs in the Helsinki
    region in Finland. Current data sources include the Service Map API,
    Linked Events API, and Helsinki Region Infoshare statistics API.

An implementation of several Hierarchical Ensemble Methods (HEMs) for Directed Acyclic Graphs (DAGs). 'HEMDAG' package: 1) reconciles flat predictions with the topology of the ontology; 2) can enhance the predictions of virtually any flat learning methods by taking into account the hierarchical relationships between ontology classes; 3) provides biologically meaningful predictions that always obey the true-path-rule, the biological and logical rule that governs the internal coherence of biomedical ontologies; 4) is specifically designed for exploiting the hierarchical relationships of DAG-structured taxonomies, such as the Human Phenotype Ontology (HPO) or the Gene Ontology (GO), but can be safely applied to tree-structured taxonomies as well (as FunCat), since trees are DAGs; 5) scales nicely both in terms of the complexity of the taxonomy and in the cardinality of the examples; 6) provides several utility functions to process and analyze graphs; 7) provides several performance metrics to evaluate HEMs algorithms. (Marco Notaro, Max Schubach, Peter N. Robinson and Giorgio Valentini (2017) <doi:10.1186/s12859-017-1854-y>).

Import and classify canopy fish-eye images, estimate angular gap fraction and derive canopy attributes like leaf area index and openness.  Additional information is provided in the study by Chianucci F., Macek M. (2023) <doi:10.1016/j.agrformet.2023.109470>.

A visualization suite primarily designed for single-cell
    RNA-sequencing data analysis applications, but adaptable to
    other purposes as well. It introduces novel plots to represent two-variable
    and frequency data and optimizes some commonly used plotting options
    (e.g., correlation, network, density and alluvial plots) for ease of usage
    and flexibility.

Provides HE plot and other functions for visualizing hypothesis
    tests in multivariate linear models. HE plots represent sums-of-squares-and-products 
    matrices for linear hypotheses and for error using ellipses (in two
    dimensions) and ellipsoids (in three dimensions). It also provides other tools for analysis and graphical display of the models
    such as robust methods and homogeneity of variance covariance matrices.
    The related 'candisc' package provides visualizations in a reduced-rank canonical discriminant space when
    there are more than a few response variables.