Provides an interface to e-Stat API, the one-stop service for official statistics of the Japanese government.

Fast and memory-less computation of the energy statistics related quantities for vectors and matrices. References include: Szekely G. J. and Rizzo M. L. (2014), <doi:10.1214/14-AOS1255>. Szekely G. J. and Rizzo M. L. (2023), <ISBN:9781482242744>. Tsagris M. and Papadakis M. (2025). <doi:10.48550/arXiv.2501.02849>.

Estimates item and person parameters for the Continuous Response Model (CRM; Samejima, 1973, <doi:10.1007/BF02291114>), computes item fit residual statistics, draws empirical 3D item category response curves, draws theoretical 3D item category response curves, and generates data under the CRM for simulation studies.

Implements the Polynomial Maximization Method ('PMM') for parameter estimation
    in linear and time series models when error distributions deviate from normality.
    The 'PMM2' variant achieves lower variance parameter estimates compared to ordinary
    least squares ('OLS') when errors exhibit significant skewness. The 'PMM3' variant
    (S=3) targets symmetric platykurtic error distributions, reducing variance when
    excess kurtosis is negative. Includes automatic method selection ('pmm_dispatch'),
    linear regression, 'AR'/'MA'/'ARMA'/'ARIMA' models, and bootstrap inference.
    Methodology described in Zabolotnii, Warsza, and Tkachenko (2018) <doi:10.1007/978-3-319-77179-3_75>,
    Zabolotnii, Tkachenko, and Warsza (2022) <doi:10.1007/978-3-031-03502-9_37>, and
    Zabolotnii, Tkachenko, and Warsza (2023) <doi:10.1007/978-3-031-25844-2_21>, and
    Zabolotnii (2025) <doi:10.48550/arXiv.2511.07059>.

Dry seed germinates by imbibing water from soil where the physiological process of germination starts after sufficient water has been imbibed by the seed. The germination time of the seed is inversely proportion to the difference between soil water potential and the base seed water potential which is described by hydro time model (Bradford, 2002 <https://www.jstor.org/stable/4046371>). The parameters of the model like speed of germination, stress tolerance, uniformity of germination are unknown fixed values (Ghosh et al., 2026 <doi:10.1111/aab.70041>) which are to be estimated using statistical regression model where the validity of the adopted statistical  model has been established theoretically. The package will help to estimate the tuning parameter for proportion of viable seeds along with standard error and p- values for inference.