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Downloading, Reading and Analyzing PNS Microdata
Provides tools for downloading, reading and analyzing the National Survey of Health - PNS, a household survey from Brazilian Institute of Geography and Statistics - IBGE. The data must be downloaded from the official website < https://www.ibge.gov.br/>. Further analysis must be made using package 'survey'.
ML Estimation for Multivariate Normal Data with Missing Values
Finds the Maximum Likelihood (ML) Estimate of the mean vector and variance-covariance matrix for multivariate normal data with missing values.
Continuous Glucose Monitoring Data Analyzer
Contains all of the functions necessary for the complete analysis of a continuous glucose monitoring study and can be applied to data measured by various existing 'CGM' devices such as 'FreeStyle Libre', 'Glutalor', 'Dexcom' and 'Medtronic CGM'. It reads a series of data files, is able to convert various formats of time stamps, can deal with missing values, calculates both regular statistics and nonlinear statistics, and conducts group comparison. It also displays results in a concise format. Also contains two unique features new to 'CGM' analysis: one is the implementation of strictly standard mean difference and the class of effect size; the other is the development of a new type of plot called antenna plot. It corresponds to 'Zhang XD'(2018)
Robust Clustering Procedures
A clustering algorithm similar to K-Means is implemented, it has two main advantages,
namely (a) The estimator is resistant to outliers, that means that results of estimator are still correct when
there are atypical values in the sample and (b) The estimator is efficient, roughly speaking,
if there are no outliers in the sample, results will be similar to those obtained by a classic algorithm (K-Means).
Clustering procedure is carried out by minimizing the overall robust scale so-called tau scale.
(see Gonzalez, Yohai and Zamar (2019)
Versatile Functions for Working with Pedigrees
Tools to sort, edit and prune pedigrees and to extract the inbreeding coefficients
and the relationship matrix (includes code for pedigrees from self-pollinated species).
The use of pedigree data is central to genetics research within the animal and plant breeding communities to predict
breeding values. The relationship matrix between the individuals can be derived from pedigree structure
('Vazquez et al., 2010')
Cytokine Profiling Analysis Tool
Provides comprehensive cytokine profiling analysis through quality control using biologically meaningful cutoffs on raw cytokine measurements and by testing for distributional symmetry to recommend appropriate transformations. Offers exploratory data analysis with summary statistics, enhanced boxplots, and barplots, along with univariate and multivariate analytical capabilities for in-depth cytokine profiling such as Principal Component Analysis based on Andrzej Maćkiewicz and Waldemar Ratajczak (1993)
Portfolio Analysis, Including Numerical Methods for Optimization of Portfolios
Portfolio optimization and analysis routines and graphics.
Estimating Infection Rates from Serological Data
Translates antibody levels measured in cross-sectional population samples into estimates of the frequency with which seroconversions (infections) occur in the sampled populations. Replaces the previous `seroincidence` package.
Bayesian Estimation of an Exploratory Deterministic Input, Noisy and Gate Model
Perform a Bayesian estimation of the exploratory
deterministic input, noisy and gate (EDINA)
cognitive diagnostic model described by Chen et al. (2018)
Exploratory Reduced Reparameterized Unified Model Estimation
Perform a Bayesian estimation of the exploratory reduced
reparameterized unified model (ErRUM) described by Culpepper and Chen (2018)