Some accelerated three-term conjugate gradient algorithms implemented purely in R with the same user interface as optim(). The search directions and acceleration scheme are described in Andrei, N. (2013) <doi:10.1016/j.amc.2012.11.097>, Andrei, N. (2013) <doi:10.1016/j.cam.2012.10.002>, and Andrei, N (2015) <doi:10.1007/s11075-014-9845-9>. Line search is done by a hybrid algorithm incorporating the ideas in Oliveia and Takahashi (2020) <doi:10.1145/3423597> and More and Thuente (1994) <doi:10.1145/192115.192132>.

The 'tinytest' package offers a light-weight zero-dependency unit-testing
 framework to which this package adds support of the 'diffobj' package for 'diff'-style
 comparison of R objects.

C source code and R wrappers for the tth/ttm TeX-to-HTML/MathML translators.

Likelihood ratio and maximum likelihood statistics are provided 
     that can be used as alternatives to p-values Colquhoun (2017) 
     <doi:10.1098/rsos.171085>. Arguments can be either p-values or t-statistics. 
     together with degrees of freedom. For the function 'tTOlr', the argument
     'twoSided' has the default 'twoSided = TRUE'.

A collection of over 50 technical indicators for creating technical trading rules. The package also provides fast implementations of common rolling-window functions, and several volatility calculations.

Time-Temperature Superposition analysis is often applied to frequency modulated data obtained by Dynamic
		Mechanic Analysis (DMA) and Rheometry in the analytical chemistry and physics
		areas. These techniques provide estimates of material mechanical properties
		(such as moduli) at different temperatures in a wider range of time. This
		package provides the Time-Temperature superposition Master Curve at a referred
		temperature by the three methods: the two wider used methods, Arrhenius based
		methods and WLF, and the newer methodology based on derivatives procedure.
		The Master Curve is smoothed by B-splines basis. The package output is composed
		of plots of experimental data, horizontal and vertical shifts, TTS data, and TTS
		data fitted using B-splines with bootstrap confidence intervals.