Man pages for imp4p
Imputation for Proteomics

estim_boundEstimation of lower and upper bounds for missing values.
estim_mixEstimation of a mixture model of MCAR and MNAR values in each...
fast_apply_nb_naFunction similar to the function...
fast_apply_nb_not_naFunction similar to the function...
fast_apply_sd_na_rm_TFunction similar to the function...
fast_apply_sum_na_rm_TFunction similar to the function...
fast_simFunction to compute similarity measures between a vector and...
gen_condFunction allowing to create a vector indicating the...
imp4p-packageIntroduction to the IMP4P package
impute_igcdaImputing missing values by assuming that the distribution of...
impute_miImputation of data sets containing peptide intensities with a...
impute_mixImputation using a decision rule under an assumption of a...
impute_paImputation of peptides having no value in a biological...
impute_randImputation of peptides with a random value.
impute_slsaImputing missing values using an adaptation of the LSimpute...
mi_mixMultiple imputation from a matrix of probabilities of being...
miss_mcar_processEstimating the MCAR mechanism in a sample.
miss_mnar_processEstimating the MNAR mechanism in a sample.
miss_total_processEstimating the missing data mechanism in a sample.
pi_mcar_karpievitchEstimating the proportion of MCAR values in biological...
pi_mcar_logitEstimating the proportion of MCAR values in a sample using a...
pi_mcar_probitEstimating the proportion of MCAR values in a sample using a...
proba_mcar_tabEstimation of a matrix of probabilities that missing values...
prob_mcarEstimation of a vector of probabilities that missing values...
sim_dataSimulation of data sets by controlling the proportion of MCAR...
translatedRandomBetaFunction to generated values following a translated Beta...
imp4p documentation built on Dec. 12, 2017, 1:04 a.m.