* 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>.

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**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>.

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**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.

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**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>.

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**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>.