Nowcasting Analysis and Create Real-Time Data Basis (nowcasting)
Methods and tools for ‘forecast’ the current state (nowcast) of Brazilian economic time series. It allows extract information in real time, creating a real time data base; estimate relationship between macroeconomic variables via estimation of dynamic factors; forecast time series in previous periods of reference; forecast time series in the current period of reference (nowcasting); recreate a data base simulating the information available in the past for evaluating forecasting models accuracy. The econometric framework we follow is proposed in Giannone et al. (2008) <doi:10.1016/j.jmoneco.2008.05.010>.

Computation of the p-Value for the Exact Conditional Cochran-Armitage Trend Test (CATTexact)
Provides functions for computing the one-sided p-values of the Cochran-Armitage trend test statistic for the asymptotic and the exact conditional test. The computation of the p-value for the exact test is performed using an algorithm following an idea by Mehta, et al. (1992) <doi:10.2307/1390598>.

Interactive Color Gradient Picker Using ‘htmlwidgets’ and the Modified JS Script ‘jquery-gradient-picker’ (gradientPickerD3)
Widget for an interactive selection and modification of a color gradient. ‘gradientPickerD3’ allows addition, removement and replacement of color ticks. List of numeric values will automatically translate in their corresponding tick position within the numeric range. App returns a data.frame containing tick values, colors and the positions in percent (0.0 to 1.0) for each color tick in the gradient. The original JS ‘jquery-gradient-picker’ was implemented by Matt Crinklaw-Vogt (nick: tantaman) <https://…/>. Widget and JS modifications were done by CD. Peikert.

Measures for Comparing Clusters (mclustcomp)
Given a set of data points, a clustering is defined as a disjoint partition where each pair of sets in a partition has no overlapping elements. This package provides a collection of methods that play a role somewhat similar to distance or metric that measures similarity of two clusterings – or partitions. For a more detailed description, see Meila, M. (2005) <doi:10.1145/1102351.1102424>.

Parametric Estimation in Mixed-Effects Stochastic Differential Equations (MsdeParEst)
Parametric estimation in stochastic differential equations with random effects in the drift, or in the diffusion or both. Approximate maximum likelihood methods are used. M. Delattre, V. Genon-Catalot and A. Samson (2012) <doi:10.1111/j.1467-9469.2012.00813.x> M. Delattre, V. Genon-Catalot and A. Samson (2015) <doi:10.1051/ps/2015006> M. Delattre, V. Genon-Catalot and A. Samson (2016) <doi:10.1016/j.jspi.2015.12.003>.

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