Provides access to packages developed for downloading, reading and analyzing
  microdata from household surveys in Integrated System of Household Surveys - SIPD
  conducted by Brazilian Institute of Geography and Statistics - IBGE.
	More information can be obtained from the official website <https://www.ibge.gov.br/>.

Processor for selected ion flow tube mass spectrometer
            (SIFT-MS) output file from breath analysis. It allows the filtering of the SIFT output file (i.e., variation
            over time of the target analyte concentration) and the following
            analysis for the determination of: maximum, average, and standard deviation
            value of target concentration measured at each exhalation, and the
            respiratory rate over the measurement. Additionally, it is possible to
            align the SIFT-MS data with other on-line techniques such as 
            cardio pulmonary exercise test (CPET) for a comprehensive 
            characterization of breath samples.

A simulator for reticulate evolution under a birth-death-hybridization process. Here the birth-death process is extended to consider reticulate Evolution by allowing hybridization events to occur. The general purpose simulator allows the modeling of three different reticulate patterns: lineage generative hybridization, lineage neutral hybridization, and lineage degenerative hybridization. Users can also specify hybridization events to be dependent on a trait value or genetic distance. We also extend some phylogenetic tree utility and plotting functions for networks. We allow two different stopping conditions: simulated to a fixed time or number of taxa. When simulating to a fixed number of taxa, the user can simulate under the Generalized Sampling Approach that properly simulates phylogenies when assuming a uniform prior on the root age.

A platform for computing competition indices and experimenting
    with spatially explicit individual-based vegetation models.

Single-Index Quantile Regression is effective in some scenarios. We provides functions that allow users to fit Single-Index Quantile Regression model. It also provides functions to do prediction, estimate standard errors of the single-index coefficients via bootstrap, and visualize the estimated univariate function. Please see W., Y., Y. (2010) <doi:10.1016/j.jmva.2010.02.003> for details.