Showing 4 of total 4 results (show query)
sem-in-r
seminr:Building and Estimating Structural Equation Models
A powerful, easy to syntax for specifying and estimating complex Structural Equation Models. Models can be estimated using Partial Least Squares Path Modeling or Covariance-Based Structural Equation Modeling or covariance based Confirmatory Factor Analysis. Methods described in Ray, Danks, and Valdez (2021).
Maintained by Nicholas Patrick Danks. Last updated 3 years ago.
common-factorscompositesconstructpls-models
62 stars 7.46 score 284 scripts
ddediu
AdhereR:Adherence to Medications
Computation of adherence to medications from Electronic Health care Data and visualization of individual medication histories and adherence patterns. The package implements a set of S3 classes and functions consistent with current adherence guidelines and definitions. It allows the computation of different measures of adherence (as defined in the literature, but also several original ones), their publication-quality plotting, the estimation of event duration and time to initiation, the interactive exploration of patient medication history and the real-time estimation of adherence given various parameter settings. It scales from very small datasets stored in flat CSV files to very large databases and from single-thread processing on mid-range consumer laptops to parallel processing on large heterogeneous computing clusters. It exposes a standardized interface allowing it to be used from other programming languages and platforms, such as Python.
Maintained by Dan Dediu. Last updated 1 years ago.
adherence-to-medicationselectronic-healthcare-datahadoopmedical-databasesmedication-historiespythonsqlvisualisation
28 stars 7.07 score 47 scripts 1 dependentsddediu
AdhereRViz:Adherence to Medications
Interactive graphical user interface (GUI) for the package 'AdhereR', allowing the user to access different data sources, to explore the patterns of medication use therein, and the computation of various measures of adherence. It is implemented using Shiny and HTML/CSS/JavaScript.
Maintained by Dan Dediu. Last updated 1 years ago.
adherence-to-medicationselectronic-healthcare-datahadoopmedical-databasesmedication-historiespythonsqlvisualisation
28 stars 4.75 score 2 scripts
chriscpritchard
PRISMA2020:Make Interactive 'PRISMA' Flow Diagrams
Systematic reviews should be described in a high degree of methodological detail. The 'PRISMA' Statement calls for a high level of reporting detail in systematic reviews and meta-analyses. An integral part of the methodological description of a review is a flow diagram. This package produces an interactive flow diagram that conforms to the 'PRISMA2020' preprint. When made interactive, the reader/user can click on each box and be directed to another website or file online (e.g. a detailed description of the screening methods, or a list of excluded full texts), with a mouse-over tool tip that describes the information linked to in more detail. Interactive versions can be saved as HTML files, whilst static versions for inclusion in manuscripts can be saved as HTML, PDF, PNG, SVG, PS or WEBP files.
Maintained by Chris Pritchard. Last updated 2 years ago.
1 stars 2.46 score 29 scripts