pam2.0.0 package

Fast and Efficient Processing of PAM Data

combo_plot_control

Combined ETR Plot and Summary Table

compare_regression_models_ETR_I

Compare Regression Models for ETR I

compare_regression_models_ETR_II

Compare Regression Models for ETR II

eilers_peeters_default_start_value_a

Default start value

eilers_peeters_default_start_value_b

Default start value

eilers_peeters_default_start_value_c

Default start value

eilers_peeters_generate_regression_ETR_I

Eilers-Peeters Regression for ETR I

eilers_peeters_generate_regression_ETR_II

Eilers-Peeters Regression for ETR II

eilers_peeters_modified

Eilers & Peeters Model Modification

platt_default_start_value_alpha

Default start value

platt_default_start_value_beta

Default start value

platt_default_start_value_ps

Default start value

platt_generate_regression_ETR_I

Platt Regression for ETR I

platt_generate_regression_ETR_II

Platt Regression for ETR II

platt_modified

Platt Model Modification

plot_control

Plot Control

read_dual_pam_data

Read and Process DualPAM Data

read_junior_pam_data

Read and Process Junior PAM Data

read_universal_data

Read and Process Universal PAM Data

vollenweider_default_start_value_a

Default start value

vollenweider_default_start_value_alpha

Default start value

vollenweider_default_start_value_n

Default start value

vollenweider_default_start_value_pmax

Default start value

vollenweider_generate_regression_ETR_I

Vollenweider Regression for ETR I

vollenweider_generate_regression_ETR_II

Vollenweider Regression for ETR II

vollenweider_modified

Vollenweider Model Modification

walsby_default_start_value_alpha

Default start value

walsby_default_start_value_beta

Default start value

walsby_default_start_value_etr_max

Default start value

walsby_generate_regression_ETR_I

Walsby Regression for ETR I

walsby_generate_regression_ETR_II

Walsby Regression for ETR II

walsby_modified

Walsby Model Modification

write_model_result_csv

Write Model Result CSV

Processing Chlorophyll Fluorescence & P700 Absorbance data. Four models are provided for the regression of Pi curves, which can be compared with each other in order to select the most suitable model for the data set. Control plots ensure the successful verification of each regression. Bundled output of alpha, ETRmax, Ik etc. enables fast and reliable further processing of the data.

  • Maintainer: Julien Böhm
  • License: GPL-3
  • Last published: 2026-02-01