The Brazilian system for diploma registration and validation on technical and superior
    courses are managing by 'Sistec' platform, see <https://sistec.mec.gov.br/>. This package provides 
    tools for Brazilian institutions to update the student's registration and make data analysis 
    about their situation, retention and drop out.

This data package contains four datasets of quantitative PCR (qPCR)
  amplification curves that were used as supplementary data in the research
  article by Sisti et al. (2010), <doi:10.1186/1471-2105-11-186>.
  The primary dataset comprises a ten-fold dilution series spanning
  copy numbers from 3.14 × 10^7 to 3.14 × 10^2, with twelve replicates per
  concentration. These samples are based on a pGEM-T Promega plasmid containing
  a 104 bp fragment of the mitochondrial gene NADH dehydrogenase 1 (MT-ND1),
  amplified using the ND1/ND2 primer pair. The remaining three datasets contain
  qPCR results in the presence of specific PCR inhibitors: tannic acid,
  immunoglobulin G (IgG), and quercetin, respectively, to assess their effects
  on the amplification process. These datasets are useful for researchers 
  interested in PCR kinetics. The original raw data file is available as
  Additional File 1:
  <https://static-content.springer.com/esm/art%3A10.1186%2F1471-2105-11-186/MediaObjects/12859_2009_3643_MOESM1_ESM.XLS>.

Functions common to members of the SISTM team.

Selects invalid instruments amongst a candidate of potentially bad instruments. The algorithm selects potentially invalid instruments and provides an estimate of the causal effect between exposure and outcome.

Computes the sit coefficient between two vectors x and y, 
  possibly all paired coefficients for a matrix. The reference for the methods implemented here is 
  Zhang, Yilin, Canyi Chen, and Liping Zhu. 2022. "Sliced Independence Test." Statistica Sinica. <doi:10.5705/ss.202021.0203>. 
  This package incorporates the Galton peas example.

Functions for fitting and plotting SITAR (Super
    Imposition by Translation And Rotation) growth curve models. SITAR is
    a shape-invariant model with a regression B-spline mean curve and
    subject-specific random effects on both the measurement and age
    scales.  The model was first described by Lindstrom (1995)
    <doi:10.1002/sim.4780141807> and developed as the SITAR method by Cole
    et al (2010) <doi:10.1093/ije/dyq115>.