Man pages for RetoSchmucki/rbms
Compute abundance index Butterfly Monitoring Schemes, using the regional GAM approach also known as the two-stage model.

butterfly_daybutterfly_day count cumulative butterfly count observed over...
check_namescheck_names Verify for the required column names in the data
check_packagecheck_package Internal function to verified the required...
check_phenocheck_pheno Check for the flight curve of a specific year and...
df_visit_seasondf_visit_season Link each recorded visit to a corresponding...
fit_gamfit_gam fit a Generalized Additive Model to butterfly count...
fit_glmfit_glm Fit a Generalized Linear Model (GLM) to predict daily...
fit_glm.nbfit_glm.nb Fit a Generalized Linear Model (GLM) to predict...
flight_curveflight_curve Compute the annual flight curve from butterfly...
impute_countimpute_count Fit a Generalized Linear Model (GLM) to predict...
initiate_projectinitiate_project Build the initial folder structure for a...
m_countToy data set with butterfly count for x species across y...
m_visitToy data set with the date when the sites have been visited...
set_anchorset_anchor Add Anchors of "zeros" at determined distance on...
ts_date_seqts_date_seq Generate a time-series of dates (per day) from...
ts_dwmy_tablets_dwmy_table Generate a time-series of dates with day, week,...
ts_monit_count_sitets_monit_count_site Generate a full time series of observed...
ts_monit_seasonts_monit_season Build a time-series of dates with specific...
ts_monit_sitets_monit_site Augment the time series in m_season with all...
RetoSchmucki/rbms documentation built on Aug. 21, 2018, 6:22 p.m.