diff --git a/NAMESPACE b/NAMESPACE
index 05c5629..7d3bc60 100644
--- a/NAMESPACE
+++ b/NAMESPACE
@@ -7,13 +7,9 @@ export(fitDeepNNTorch)
 export(fitEstimator)
 export(fitTabNetTorch)
 export(gridCvDeep)
-export(predictAndromeda)
 export(predictDeepEstimator)
 export(predictDeepNN)
-export(predictPlp)
-export(predictProbabilities)
 export(predictTabNetTorch)
-export(predict_deepEstimator)
 export(setCIReNN)
 export(setCNNTorch)
 export(setCovNN)
diff --git a/man/predictAndromeda.Rd b/man/predictAndromeda.Rd
deleted file mode 100644
index 0903869..0000000
--- a/man/predictAndromeda.Rd
+++ /dev/null
@@ -1,36 +0,0 @@
-% Generated by roxygen2: do not edit by hand
-% Please edit documentation in R/Predict.R
-\name{predictAndromeda}
-\alias{predictAndromeda}
-\title{Generated predictions from a regression model}
-\usage{
-predictAndromeda(
-  coefficients,
-  population,
-  covariateData,
-  modelType = "logistic"
-)
-}
-\arguments{
-\item{coefficients}{A names numeric vector where the names are the covariateIds, except for the
-first value which is expected to be the intercept.}
-
-\item{population}{A data frame containing the population to do the prediction for}
-
-\item{covariateData}{An andromeda object containing the covariateData with predefined columns
-(see below).}
-
-\item{modelType}{Current supported types are "logistic", "poisson", "cox" or "survival".}
-}
-\description{
-Generated predictions from a regression model
-}
-\details{
-These columns are expected in the outcome object: \tabular{lll}{ \verb{rowId} \tab(integer) \tab
-Row ID is used to link multiple covariates (x) to a single outcome (y) \cr \verb{time} \tab(real)
-\tab For models that use time (e.g. Poisson or Cox regression) this contains time \cr \tab
-\tab(e.g. number of days) \cr } These columns are expected in the covariates object: \tabular{lll}{
-\verb{rowId} \tab(integer) \tab Row ID is used to link multiple covariates (x) to a single outcome
-(y) \cr \verb{covariateId} \tab(integer) \tab A numeric identifier of a covariate \cr
-\verb{covariateValue} \tab(real) \tab The value of the specified covariate \cr }
-}
diff --git a/man/predictPlp.Rd b/man/predictPlp.Rd
deleted file mode 100644
index f1718a2..0000000
--- a/man/predictPlp.Rd
+++ /dev/null
@@ -1,27 +0,0 @@
-% Generated by roxygen2: do not edit by hand
-% Please edit documentation in R/Predict.R
-\name{predictPlp}
-\alias{predictPlp}
-\title{predictPlp}
-\usage{
-predictPlp(plpModel, population, plpData, index = NULL)
-}
-\arguments{
-\item{plpModel}{An object of type \code{plpModel} - a patient level prediction model}
-
-\item{population}{The population created using createStudyPopulation() who will have their risks predicted}
-
-\item{plpData}{An object of type \code{plpData} - the patient level prediction
-data extracted from the CDM.}
-
-\item{index}{A data frame containing rowId: a vector of rowids and index: a vector of doubles the same length as the rowIds. If used, only the rowIds with a negative index value are used to calculate the prediction.}
-}
-\value{
-A dataframe containing the prediction for each person in the population with an attribute metaData containing prediction details.
-}
-\description{
-Predict the risk of the outcome using the input plpModel for the input plpData
-}
-\details{
-The function applied the trained model on the plpData to make predictions
-}
diff --git a/man/predictProbabilities.Rd b/man/predictProbabilities.Rd
deleted file mode 100644
index affba63..0000000
--- a/man/predictProbabilities.Rd
+++ /dev/null
@@ -1,26 +0,0 @@
-% Generated by roxygen2: do not edit by hand
-% Please edit documentation in R/Predict.R
-\name{predictProbabilities}
-\alias{predictProbabilities}
-\title{Create predictive probabilities}
-\usage{
-predictProbabilities(predictiveModel, population, covariateData)
-}
-\arguments{
-\item{predictiveModel}{An object of type \code{predictiveModel} as generated using
-\code{\link{fitPlp}}.}
-
-\item{population}{The population to calculate the prediction for}
-
-\item{covariateData}{The covariateData containing the covariates for the population}
-}
-\value{
-The value column in the result data.frame is: logistic: probabilities of the outcome, poisson:
-Poisson rate (per day) of the outome, survival: hazard rate (per day) of the outcome.
-}
-\description{
-Create predictive probabilities
-}
-\details{
-Generates predictions for the population specified in plpData given the model.
-}