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General Transit Feed Specification (GTFS) Editing and Analysing Tools
Utility functions to read, manipulate, analyse and write transit feeds in the General Transit Feed Specification (GTFS) data format.
Generalized Efficient Regression-Based Imputation with Latent Processes
Implements a new multiple imputation method that draws
imputations from a latent joint multivariate normal model which
underpins generally structured data. This model is constructed using a
sequence of flexible conditional linear models that enables the
resulting procedure to be efficiently implemented on high dimensional
datasets in practice. See Robbins (2021)
Specification Tests for Parametric Propensity Score Models
The propensity score is one of the most widely used tools in
studying the causal effect of a treatment, intervention, or policy. Given that
the propensity score is usually unknown, it has to be estimated, implying that
the reliability of many treatment effect estimators depends on the correct
specification of the (parametric) propensity score. This package implements the
data-driven nonparametric diagnostic tools for detecting propensity score
misspecification proposed by Sant'Anna and Song (2019)
Gene Set Enrichment Meta-Analysis
Performing the different steps of gene set enrichment meta-analysis. It provides different functions that allow the application of meta-analysis based on the combination of effect sizes from different pathways in different studies to obtain significant pathways that are common to all of them.
Measure of Agreement Between Two Raters
Measure of agreement delta was originally by Martín & Femia (2004)
Bimodal Gumbel Distribution
Bimodal Gumbel distribution. General functions for performing extreme value analysis.
Converting Transport Data from GTFS Format to GPS-Like Records
Convert general transit feed specification (GTFS) data to global positioning system (GPS) records in 'data.table' format. It also has some functions to subset GTFS data in time and space and to convert both representations to simple feature format.
Generate Sample Censoring
Provides functions to generate censored samples of type I, II and III, from any random sample generator. It also supplies the option to create left and right censorship. Along with this, the generation of samples with interval censoring is in the testing phase, with two options of fixed length intervals and random lengths.
Build Network Based on Linear Mixed Models from EHRs
Analyzing longitudinal clinical data from Electronic Health Records (EHRs) using linear mixed models (LMM) and visualizing the results as networks. It includes functions for fitting LMM, normalizing adjacency matrices, and comparing networks. The package is designed for researchers in clinical and biomedical fields who need to model longitudinal data and explore relationships between variables For more details see Bates et al. (2015)
Extra Features for 'reactable' Package
Enhanced functionality for 'reactable' in 'shiny' applications, offering interactive and dynamic data table capabilities with ease. With 'reactable.extras', easily integrate a range of functions and components to enrich your 'shiny' apps and facilitate user-friendly data exploration.