An easy-to-use tool for implementing Neural Ordinary Differential Equations (NODEs) in pharmacometric software such as 'Monolix', 'NONMEM', and 'nlmixr2', see Bräm et al. (2024) <doi:10.1007/s10928-023-09886-4> and Bräm et al. (2025) <doi:10.1002/psp4.13265>. The main functionality is to automatically generate structural model code describing computations within a neural network. Additionally, parameters and software settings can be initialized automatically. For using these additional functionalities with 'Monolix', 'pmxNODE' interfaces with 'MonolixSuite' via the 'lixoftConnectors' package. The 'lixoftConnectors' package is distributed with 'MonolixSuite' (<https://monolixsuite.slp-software.com/r-functions/2024R1/package-lixoftconnectors>) and is not available from public repositories.

Generate nicely formatted HTML tables to display estimation results for
  pharmacometric models.

Pharmacometric tools for common data analytical tasks; closed-form solutions for calculating concentrations at given 
    times after dosing based on compartmental PK models (1-compartment, 2-compartment and 3-compartment, covering infusions, zero- 
    and first-order absorption, and lag times, after single doses and at steady state, per Bertrand & Mentre (2008) 
    <https://www.facm.ucl.ac.be/cooperation/Vietnam/WBI-Vietnam-October-2011/Modelling/Monolix32_PKPD_library.pdf>); parametric simulation from NONMEM-generated parameter estimates 
    and other output; and parsing, tabulating and plotting results generated by Perl-speaks-NONMEM (PsN).

Provides tools for downloading, reading and analyzing the Continuous National
  Household Sample Survey - PNADC, a household survey from Brazilian Institute
  of Geography and Statistics - IBGE. The data must be downloaded from the official
  website <https://www.ibge.gov.br/>. Further analysis must be made using package 'survey'.

Identifies reference periods (months, fortnights, and weeks) in
    Brazil's quarterly PNADC (Pesquisa Nacional por Amostra de Domicilios
    Continua) survey data and computes calibrated weights for sub-quarterly
    analysis. The core algorithm uses IBGE (Instituto Brasileiro de Geografia
    e Estatistica) 'Parada Tecnica' (technical break) rules combined with
    respondent birthdates to determine which temporal period each survey
    observation refers to. Period identification follows a nested hierarchy
    enforced by construction: fortnights require months, weeks require
    fortnights. Achieves approximately 97% monthly determination rate with
    the full series (2012-2025). Strict fortnight and week rates are
    approximately 9% and 3% respectively, as they cannot leverage
    cross-quarter panel aggregation. Experimental strategies (probabilistic
    assignment and UPA (Primary Sampling Unit) aggregation) further improve
    these determination rates. The package provides adaptive hierarchical
    weight calibration (4/2/1 cell levels for month/fortnight/week) with
    period-specific smoothing to produce survey weights calibrated to
    SIDRA (Sistema IBGE de Recuperacao Automatica) population totals. Also
    includes a SIDRA mensalization module that converts 86+ official rolling
    quarter series from the IBGE SIDRA API (Application Programming
    Interface) into exact monthly estimates, without requiring access to
    microdata. Hecksher (2020)
    <https://repositorio.ipea.gov.br/handle/11058/9859>.